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Field Engineer Full Time San Lorenzo, CA, US Salary Range: $57.118 To $76.543 Hourly THE POSITION: Field Engineer – Under direction of the District Engineer, performs engineering work related to design, investigation, and construction of wastewater-related projects; inspects construction projects and may act as project manager for assigned projects. REQUIREMENTS: The applicant should be able to successfully perform the full duties and meet the qualifications contained in the job description. For the detailed job descriptions, visit <a href="https://apptrkr.com/get_redirect.php?id=6281107&amp;targetURL=https://oroloma.org/employment/" target="_blank">https://oroloma.org/employment/</a>. Some examples of duties include: coordinate capital improvement projects, including design, construction, and inspections; provide technical input on system modifications for lift stations, sewer mains, and the wastewater treatment plant; prepare progress payments, change orders, and reports; design and prepare plans and specifications and cost estimates for projects on lift stations, sewer mains, and wastewater treatment plant; interpret and enforce construction plans and specifications; other related duties as assigned. EXPERIENCE, EDUCATION, LICENSES: Any combination of education and experience, which would provide the required knowledge and abilities, is qualifying. Three years increasingly responsible experience, two of which under the supervision of a registered Professional Engineer or General Engineering Contractor, involving engineering, construction of industrial facilities, construction planning, and/or construction inspection for a private contractor, municipal agency, or engineering consultant involved in significant municipal engineering; and a Bachelor's degree in civil engineering or related field (12 years of field experience in construction or engineering may be substituted for the required degree); and a valid California driver's license. APPLICATION AND SELECTION PROCEDURE: All applications will be reviewed, and those candidates whose qualifications most closely match the needs of the District will be invited to participate in panel interviews. FINAL FILING DATE: The final filing date for the position is open until the position is filled. NOTE: The information contained herein does not constitute an expressed or implied contract; any part of the selection process may be modified or canceled to meet the needs of the District. EOE. To apply: <a href="https://apptrkr.com/6281107" target="_blank">https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=15103cd6-c3ba-4567-ac76-31499f411077&amp;ccId=19000101_000001&amp;lang=en_US&amp;selectedMenuKey=CareerCenter&amp;jobId=572922</a> Copyright ©2025 Jobelephant.com Inc. All rights reserved. <a href="https://www.jobelephant.com/" target="_blank">Posted by the FREE value-added recruitment advertising agency</a> jeid-5c99b1a744c2374c8874142a80c789bf

Field Engineer

Associate Engineer Full Time San Lorenzo, CA, US Salary Range: $62.392 To $83.611 Hourly THE POSITION: Associate Engineer - Under direction of the District Engineer, plans, organizes, and supervises capital improvement projects and complicated professional engineering work related to the wastewater treatment plant and sewer collection system. REQUIREMENTS: The applicant should be able to successfully perform the full duties and meet the qualifications contained in the job description. For the detailed job descriptions, visit <a href="https://apptrkr.com/get_redirect.php?id=6281103&amp;targetURL=https://oroloma.org/employment/" target="_blank">https://oroloma.org/employment/</a>. Some examples of duties include: coordinate capital improvement projects, including design, construction, and inspections; provide technical input on system modifications for lift stations, sewer mains, and the wastewater treatment plant; prepare progress payments, change orders, and reports; design and prepare plans and specifications and cost estimates for projects on lift stations, sewer mains, and wastewater treatment plant; interpret and enforce construction plans and specifications; other related duties as assigned. EXPERIENCE, EDUCATION, LICENSES: Any combination of education and experience, which would provide the required knowledge and abilities, is qualifying. Five years of experience in civil or sanitary engineering (experience with management of wastewater treatment plant and/or sewer collection system desirable); and a Bachelor's of Science degree in civil engineering, sanitary engineering, or related field; and a valid California driver's license; and possession of a Certificate of Registration as a Professional Engineer issued by the California State Board of Registration. APPLICATION AND SELECTION PROCEDURE: All applications will be reviewed, and those candidates whose qualifications most closely match the needs of the District will be invited to participate in panel interviews. FINAL FILING DATE: The final filing date for the position is open until the position is filled. NOTE: The information contained herein does not constitute an expressed or implied contract; any part of the selection process may be modified or canceled to meet the needs of the District. EOE. To apply: <a href="https://apptrkr.com/6281103" target="_blank">https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=15103cd6-c3ba-4567-ac76-31499f411077&amp;ccId=19000101_000001&amp;lang=en_US&amp;jobId=572920</a> Copyright ©2025 Jobelephant.com Inc. All rights reserved. <a href="https://www.jobelephant.com/" target="_blank">Posted by the FREE value-added recruitment advertising agency</a> jeid-7e5ed04dbe063d4192337c4c454bb017

Associate Engineer

Senior Engineer Full Time Professional San Lorenzo, CA, US Salary Range: $69.322 To $92.898 Hourly THE POSITION: Senior Engineer – Under general direction of the District Engineer, the Senior Engineer will perform complicated professional engineering work related to the wastewater treatment plant and collection system. This includes designing and management of capital projects, participation in planning capital budgets, and serving as the District Engineer during his absence. REQUIREMENTS: The applicant should be able to successfully perform the full duties and meet the qualifications contained in the job description. For the detailed job descriptions, visit <a href="https://apptrkr.com/get_redirect.php?id=6281101&amp;targetURL=https://oroloma.org/employment/" target="_blank">https://oroloma.org/employment/</a>. Some examples of duties include: coordinate capital improvement projects, including design, construction, and inspections; provide technical input on system modifications for lift stations, sewer mains, and the wastewater treatment plant; prepare progress payments, change orders, and reports; design and prepare plans and specifications and cost estimates for projects on lift stations, sewer mains, and wastewater treatment plant; interpret and enforce construction plans and specifications; other related duties as assigned. EXPERIENCE, EDUCATION, LICENSES: Any combination of education and experience, which would provide the required knowledge and abilities, is qualifying. Five years of experience in civil or sanitary engineering (experience with management of wastewater treatment plant and/or sewer collection system desirable); and a Bachelor's of Science degree in civil engineering, sanitary engineering, or related field; and a valid California driver's license; and possession of a Certificate of Registration as a Professional Engineer issued by the California State Board of Registration. APPLICATION AND SELECTION PROCEDURE: All applications will be reviewed, and those candidates whose qualifications most closely match the needs of the District will be invited to participate in panel interviews. FINAL FILING DATE: The final filing date for the position is open until the position is filled. NOTE: The information contained herein does not constitute an expressed or implied contract; any part of the selection process may be modified or canceled to meet the needs of the District. EOE. To apply: <a href="https://apptrkr.com/6281101" target="_blank">https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=15103cd6-c3ba-4567-ac76-31499f411077&amp;ccId=19000101_000001&amp;lang=en_US&amp;jobId=572923</a> Copyright ©2025 Jobelephant.com Inc. All rights reserved. <a href="https://www.jobelephant.com/" target="_blank">Posted by the FREE value-added recruitment advertising agency</a> jeid-0d4ab0b9b030f24e9f47e5c19f958715

Senior Engineer

<h3>Job Description</h3>
Job DescriptionCompany Description 
About CyberArk: CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on Twitter, LinkedIn or Facebook.
Job Description 
As Developer Experience Leader, you will play a pivotal role in transforming the daily experience of developers within CyberArk. This highly visible, technically influential position sits at the intersection of engineering, DevOps, security, and product. As an individual contributor, you’ll design and champion modern platforms, workflows, and tools that boost productivity, reduce friction, and drive a culture of engineering excellence.
This isn’t just about maintaining systems — it’s about crafting the internal ecosystem that fuels the next decade of Machine Identity Security product innovation at CyberArk, including secure-by-default workflows, AI-integrated development environments, and seamless cloud-native delivery.
What You’ll Do
<ul>
<li>Drive Developer Productivity: Identify bottlenecks across the SDLC and architect solutions that simplify, accelerate, and standardize engineering workflows..</li>
<li>Design &amp; Build Internal Platforms: Partner with DevOps and infrastructure teams to develop tools, CI/CD pipelines, and reusable components that improve build/test/deploy speed, safety, and satisfaction.</li>
<li>AI-Enabled Workflow Enablement: Shape the foundational tooling and policies that enable safe, compliant, and performant AI-assisted development across CyberArk.</li>
<li>Lead Developer Advocacy: Act as a bridge between engineering teams and platform teams — gathering feedback, translating needs into action, and driving adoption of new tools and best practices.</li>
<li>Elevate Onboarding &amp; Documentation: Own the developer onboarding journey, creating golden paths, templates, internal wikis, and training that shorten time-to-first-pull-request.</li>
<li>Build for Observability &amp; Insights: Define and track developer experience metrics (e.g., DORA, onboarding time, tool adoption) to continuously improve our platforms and report impact to leadership.</li>
<li>Foster Technical Culture: Organize tech talks, hackathons, internal working groups, and cross-team initiatives that promote innovation and knowledge sharing.</li>
</ul>
Why This Role?
<ul>
<li>High Impact: This is a force-multiplier role — your work directly improves the productivity of engineers working on mission-critical software.</li>
<li>Strategic Visibility: You’ll work closely with leadership, engineering directors, and cross-functional product teams to align priorities and demonstrate value.</li>
<li>Own the Future: Help define how CyberArk builds software for the next decade — including the adoption of secure, AI-ready engineering practices.</li>
<li>Modern Stack &amp; Real Autonomy: Work with the tools you love (Kubernetes, GitOps, cloud-native platforms) in a flexible, high-trust culture that values technical leadership.</li>
<li>Culture of Security + Innovation: At CyberArk, security is built-in — but never slows us down. You’ll have the rare opportunity to innovate within one of the world’s most trusted security brands.</li>
</ul>
#LI-HA1
Qualifications 
<ul>
<li>10+ years of experience in engineering roles (e.g., software development, DevOps, developer productivity, platform engineering).</li>
<li>Demonstrated success building or scaling internal developer platforms or tooling at the org-wide level.</li>
<li>Strong knowledge of modern SDLC workflows, GitOps, CI/CD (e.g., Jenkins, ArgoCD, GitHub Actions), and infrastructure as code (e.g., Terraform, Ansible).</li>
<li>Solid coding skills in one or more languages (e.g., Python, Go, JavaScript, Java).</li>
<li>Experience with Kubernetes, container orchestration, and observability tools (e.g., Prometheus, Grafana, Datadog).</li>
<li>Excellent written and verbal communication skills — able to influence without authority and align diverse stakeholders.</li>
<li>Deep empathy for developers, and a passion for crafting seamless, reliable internal tooling that lets engineers do their best work.</li>
<li>Bonus: Experience supporting AI/ML teams, or building workflows for AI-enhanced development environments.</li>
<li>Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience..&nbsp;&nbsp;</li>
<li>Able to work hybrid out of our Salt Lake City, Utah or&nbsp;Santa Clara, CA</li>
</ul>
&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Join CyberArk and redefine how secure software is built — from the inside out
 Additional Information 
CyberArk is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.&nbsp;
We are unable to sponsor or take over sponsorship of employment Visa at this time.
CyberArk is a people-first company. We offer a competitive compensation package, performance-based equity, and comprehensive benefits — including generous parental leave, flexible PTO, and support for remote work. We invest in your growth through mentorship, learning stipends, and opportunities to lead from any level. The salary range for this position is $175,000 – $210,000/year, plus annual bonus, which will be based on the employee’s performance and equity. Base pay may also vary considerably depending on job-related knowledge, skills, and experience.

Staff Engineer - Hybrid

<h3>Job Description</h3>
Job DescriptionCompany Description 
Our Mission
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description 
Your Career
You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate network issues, discover threats, provide intelligence and protect devices.
Your Impact
<ul>
<li>You will work in a fast paced team to create and deliver new product and mission features to the network and security platform that many customers use on a daily basis</li>
<li>You will actively engage and contribute to the network security community through collaborations</li>
<li>You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business</li>
<li>You will design, train and deploy ML models to detect threats posed by widespread adoption of GenAI</li>
</ul>
Qualifications 
Your Experience&nbsp;
<ul>
<li>M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required</li>
<li>10+ years industry experience as machine learning engineer / data scientist</li>
<li>10+ years experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Python, R, Golang</li>
<li>Proven track record in solving difficult real world problems by applying data driven approaches</li>
<li>Extensive experience with NLP/NLU problems and deep learning frameworks such as PyTorch, JAX and/or TensorFlow including&nbsp;</li>
<li>Deep understanding and experience working with modern LLMs / Multimodal Models</li>
<li>Thorough understanding and ability to design, test, evaluate and deploy ML models at scale</li>
<li>Excellent communication skills with the ability to influence at all levels of the organization</li>
<li>A self driven individual contributor and an excellent team player</li>
</ul>
 Additional Information 
The Team
Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $151000/YR - $223450/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found&nbsp;here.
Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at&nbsp;&nbsp;<a href="mailto:accommodations@paloaltonetworks.com" target="_blank">accommodations@paloaltonetworks.com</a>.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes

Principal Machine Learning Engineer (NLP - AI Runtime Security)

<h3>Job Description</h3>
Job Description
Principal AI/ML Engineer (Remote – US Based) Full-Time | Remote or Hybrid Options | $203K–$270K Base + Bonus + Equity
We’re a leading staffing partner working with a global payments and technology company seeking an experienced Principal AI/ML Engineer to lead the development of AI/ML infrastructure at scale. This is a high-impact leadership role ideal for someone who thrives in fast-moving, data-driven environments and is passionate about building production-grade AI/ML platforms.
What You'll Do:
<ul>
<li>
Architect and lead the development of scalable AI/ML platforms and services used across the organization.
</li>
<li>
Drive technical strategy and innovation in AI/ML infrastructure, data pipelines, and real-time systems.
</li>
<li>
Own end-to-end system performance, reliability, security, and observability.
</li>
<li>
Guide your team and peers in using machine learning, reinforcement learning, and LLM technologies to solve complex business problems.
</li>
<li>
Collaborate with cross-functional teams—including data science, product, security, and SRE—to deliver highly reliable solutions.
</li>
<li>
Champion engineering excellence: CI/CD, Infrastructure as Code (Terraform/Kubernetes), DORA metrics, and code quality.
</li>
<li>
Serve as a mentor and thought leader, fostering a culture of innovation, ownership, and continuous improvement.
</li>
</ul>
Qualifications:
<ul>
<li>
15+ years of software engineering experience, with deep expertise in scalable backend systems, AI/ML frameworks, and cloud platforms.
</li>
<li>
Hands-on experience with distributed systems and tools like Spark, Ray, Kubernetes, Terraform, and AWS services (S3, EMR, Lambda, etc.).
</li>
<li>
Strong skills in Java or Python, with the willingness to code when needed.
</li>
<li>
Demonstrated experience deploying ML models in production (supervised/unsupervised, RL, or LLMs).
</li>
<li>
Track record of architecting and operationalizing AI/ML platforms and data pipelines in cloud environments.
</li>
<li>
Ability to mentor engineers, set technical direction, and build high-performing teams.
</li>
<li>
Strong communication and leadership presence—able to influence at all levels of the organization.
</li>
</ul>
Nice to Have:
<ul>
<li>
Experience with SageMaker, Azure, and big data tools like Hadoop, HBase, Hive, or Spark.
</li>
<li>
Understanding of payments, fintech, or risk modeling systems.
</li>
</ul>
Compensation &amp; Benefits:
<ul>
<li>
Base Salary: $203,000–$270,000 annually (commensurate with experience)
</li>
<li>
Bonus &amp; RSU package
</li>
<li>
Comprehensive Benefits Package:
<ul>
<li>
Medical, dental, vision, HSA/FSA
</li>
<li>
401(k) with company match
</li>
<li>
Paid vacation, sick leave, and holidays
</li>
<li>
Life and disability insurance
</li>
<li>
Tuition reimbursement
</li>
<li>
Employee wellness and assistance programs
</li>
</ul>
</li>
</ul>
Note: This is a direct-hire opportunity through our agency. You’ll work directly with the client company in a full-time capacity.
Powered by JazzHR
8ZrJVH3Qet

Principal AI/ML Engineer (Remote - US Based)

<h3>Job Description</h3>
Job DescriptionCompany Description 
Our Mission
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description 
Your Career
We are seeking a dynamic and capable Production Engineering Manager to lead a team within our Cortex Production Engineering group based at our headquarters in Santa Clara, CA. The Production Engineering team plays a vital role in ensuring the reliability and availability of the production environment hosting Cortex products. This team also supports the Cortex R&amp;D team through the use of CI tools, infrastructure, and automation.
Your Impact
<ul>
<li>
Lead and manage a team of Production Engineers, fostering a culture of collaboration and efficiency.
</li>
<li>
Improve Production support processes in the DevOps org and in engineering
</li>
<li>
Track KPIs of oncall alerts and support tickets
</li>
<li>
Work on maintaining and enhancing the reliability and availability of our SaaS products.
</li>
<li>
Support the operations for the production of our SaaS cybersecurity product, ensuring good service levels.
</li>
<li>
Assist in the implementation of automated remediation tools for known issues, security measures, and monitoring within our cloud infrastructure.
</li>
<li>
Contribute to reviewing existing processes, technologies, and procedures.
</li>
<li>
Collaborate with cross-functional teams, including InfoSec, development, and QA.
</li>
<li>
Work on Infrastructure-as-Code solutions to manage and orchestrate our cloud deployment.
</li>
<li>
Assist in managing cloud environments, including Kubernetes clusters.
</li>
<li>
Participate in incident response and on-call rotation, supporting applications and infrastructure.
</li>
</ul>
Qualifications 
Your Experience&nbsp;
<ul>
<li>
5+ years of experience as a DevOps/SRE/Technical Support engineer, with a focus on reliability.
</li>
<li>
2+ years of experience in a team lead or management role.
</li>
<li>
Experience with scripting languages such as Shell scripts and Python, and a basic understanding of Linux systems.
</li>
<li>
Experience with virtualized and containerized environments, including Kubernetes and Docker.
</li>
<li>
Good communication and interpersonal skills.
</li>
<li>
Ability to adapt to new technologies.
</li>
<li>
Familiarity with cloud platform operations (e.g., Google Cloud Platform) is advantageous.
</li>
<li>
Basic understanding of CI/CD and Configuration Management tools (e.g., Jenkins) is advantageous.
</li>
<li>
A passion for technology and innovation.
</li>
</ul>
 Additional Information 
The Team
As a member of the SRE team, you will work on producing mission-critical platforms, tools, and processes that will ensure the highest levels of availability and reliability of all our applications. We need creative and innovative problem solvers who can partner with our Application development teams to make their services more usable. Our SRE team is furnished with a standout opportunity to build tools, frameworks, and cloud platforms that will support our company’s growth over the next decade. If you are a self-starter and jump on new ideas to make the platform more stable, secure and feature-rich, this is your new career.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $165,000 - $240,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found&nbsp;here.
#LI-TD1
Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at&nbsp;&nbsp;<a href="mailto:accommodations@paloaltonetworks.com" target="_blank">accommodations@paloaltonetworks.com</a>.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.

Manager, Production Engineering (Cortex)

<h3>Job Description</h3>
Job DescriptionCompany Description 
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (<a href="http://www.bosch.com" target="_blank">www.bosch.com</a>), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.&nbsp;
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision &amp; Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.&nbsp;
Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI &amp; big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper &amp; best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.&nbsp;
We Are Bosch.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let’s grow together, enjoy more, and inspire each other.&nbsp;Work #LikeABosch&nbsp;
<ul>
<li>Reinvent yourself:&nbsp;At Bosch, you will evolve.</li>
<li>Discover new directions:&nbsp;At Bosch, you will find your place.</li>
<li>Balance your life:&nbsp;At Bosch, your job matches your lifestyle.</li>
<li>Celebrate success:&nbsp;At Bosch, we celebrate you.</li>
<li>Be yourself:&nbsp;At Bosch, we value values.</li>
<li>Shape tomorrow:&nbsp;At Bosch, you change lives.</li>
</ul>
Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description 
<ul>
<li>Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.&nbsp;</li>
<li>Push the boundaries in 3D perception for automated driving, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and&nbsp;</li>
<li>Collaborate with a global team to transfer cutting-edge research findings to Bosch's operational units.&nbsp;</li>
<li>Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.&nbsp;</li>
<li>Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.&nbsp;</li>
<li>Document and disseminate research findings through high-caliber publications and/or patent submissions.&nbsp;</li>
</ul>
Qualifications 
Basic Qualifications:&nbsp;
<ul>
<li>Master’s degree&nbsp; with &gt;= 3 years industry experience after graduation.&nbsp;</li>
<li>A minimum of 3 years of R&amp;D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion,&nbsp; Behavioral Planning, etc.&nbsp;</li>
<li>Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust).&nbsp;</li>
<li>Strong interpersonal, communication, and teamwork capabilities.&nbsp;</li>
<li>Knowledge of major machine learning frameworks like PyTorch.&nbsp;</li>
<li>Hands-on experience in computer vision and deep learning, with a strong focus on at least two of the following areas: multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel/BEV grid-based feature representation.&nbsp;</li>
</ul>
Preferred Qualifications:&nbsp;
<ul>
<li>Ph.D. in Computer Science or a related discipline&nbsp;</li>
<li>Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.&nbsp;</li>
<li>Industry experience with building E2E systems and world models for ADAS development.&nbsp;</li>
<li>Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.&nbsp;</li>
<li>Strong background in math and statistics.&nbsp;</li>
<li>Able to work independently, has strong research and problem-solving skills.&nbsp;</li>
<li>Good communication and teamwork skills.&nbsp;</li>
</ul>
 Additional Information 
The U.S. base salary range for this full-time position is $ 165,000 - $ 200,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
Equal Opportunity Employer, including disability / veterans.&nbsp;&nbsp;
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

AI Research Engineer- Advanced Driving Assistance Systems (ADAS)

<h3>Job Description</h3>
Job Description:\n\nWe’re looking for a curious, rigorous, problem-hungry platform engineer (who codes!) to carry the ball as we bring Ashby to the big leagues. Ashby builds software that lets talent teams build an efficient, delightful, respectful hiring process. Similarly, you’re an engineer who wants to build a “paved road” that excellent engineering teams can safely take to the moon and back. We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing &gt;100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅. We’ve listed this role twice: as a Platform Engineer and Site Reliability Engineer – our team does both, and we are open to candidates who lean towards one or the other. About the role and how we work I’m Elénie, a Director of Engineering at Ashby. I’ve been an SRE for a long time, but I didn’t begin there. I started my career building algorithms to process large 3D models for civil engineers and route packets faster for telecommunications (“real infrastructure”). There, I found that what makes or breaks the customer experience is the result of often unseen but critical infrastructure work. This critical work makes the admin UI on the website load fast at the airport, the drafts of your models recoverable if your laptop crashes, the data you dearly value, safe. That’s why I switched from working on product to infrastructure: we’ve all seen those outages first reported by a customer because there’s no monitoring, those cute sadface graphics so you’ll be less angry at the software when it inevitably crashes, those late nights your coworkers spend toiling away at failed releases, missing database rows, or misbehaving firewalls. I wanted to create fully-automated solutions to those reliability issues, and use software instead of processes to make infrastructure updates, inter-team schema changes, or data access safe. This can work very well: the systems I built reduced yearly downtime to minutes, and some were even fun. I believe training people starts with meeting them where they are, and infrastructure engineers have empathy as a core skill. As a Platform Engineer at Ashby, you’ll do that and more. Every Product Engineer owns their projects and ships with minimal oversight. We, as SREs, approach this from a practical view. We don’t put roadblocks to ensure security when common sense will do and we don’t build processes like change management boards around the lowest common denominator. But with great power comes great responsibility: we handle personal and confidential data about some of the biggest decisions we ever make at work. As we grow, more and bigger customers rely on us to be reliable and secure and how we operate internally will need to evolve. We’re at an inflection point where our ability to scale and deliver a seamless experience has a make-or-break impact – we have some of the fastest growing companies using our platform every day to hire hundreds of people per month. We need someone like you to make good decisions, debug thorny issues, and build us a future-proof platform that can withstand this scale. Our small but mighty infrastructure team has set up a secure and simple environment (we don’t believe in spinning up a new service unless necessary!) for our growing product team to build in. That’s where you come in: you, too, will own projects end-to-end and have an impact on core parts of the Ashby developer and user experience. For instance, you could work on: Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs and implement the corresponding SLIs. Ensure all communication with external services supports retries and circuit-breakers. Implement the infrastructure to support an event-driven architecture and data warehouse. We’re looking for someone who can build systems that an engineer would like to work with: mature and boring but open-minded and approachable. We have to balance reliability with flexibility. Software and its availability are now mission critical to almost every working professional. To be in an SRE in today’s world, you have to be extremely comfortable evaluating risk, those you take and those others take. Why you should or shouldn’t apply You should apply if: You never stop. You get weirdly obsessed about a problem that doesn’t yet make sense, turn it every which way in your head until the explanation dawns. You’ll search every rock, inventory every clue, hunt every mismatch. We do that, too - together we’ll be armed with state-of-the-art monitoring tools and an impressive amount of data, and join you in the adventure. You don’t take shortcuts. You’re speaking up for the future user, the edge case, the doomsday design. You know product engineers want to build it with you, and see them as allies, where you give them the power and knowledge to access greater things. You’re someone who cares about what you do and the team you do it with, and want to work with others who do as well. You’ll be on interview panels choosing your next colleagues, and you’ll take that seriously. You only want to work with people who make you better, and want to make you better. You’ve built infrastructure at a slightly later stage than Ashby is at - you know how to deal with millions of data points, have seen great (or not great) infrastructure make or break customer experience, and have automated everything from provisioning to monitoring and release process. You’re a Swiss army knife (all nationalities welcome ;) ). You’ll get every hard problem the company faces. You’ll get to do infrastructure updates, security enforcements, database optimization, Kubernetes debugging, and digging through Typescript traces figuring out what doesn’t work. You probably don’t feel like an expert at at least some of that... and that appeals to you. All that makes for a pretty specific kind of role, and the job isn’t to everyone’s tastes! You should not apply if: You don’t want to make your own decisions on what is the best paved road to build for Ashby, and expect a lead or manager to make the final call on what that is. Our leads (and managers) give ample commentary and feedback on technical decisions and how they’re made, but you ship what you want to build and are accountable for it. You hate SQL. We have a lot of features built around making the best out of data, and our platform engineers also sometimes dive into a gnarly report or advise engineers on a more performant data model to use. You don’t want to code. Our SREs are some of our best software engineers and they are just as responsible for the application as the other engineering teams - albeit at a platform level. Reviewing code and submitting code changes will be part of your day to day. Your primary mode of communicating best practices to engineers is live meetings. We’re a very async culture and written communication (and code) is how changes get made. As an Ashby SRE, you will need to share new tooling and best practices with engineers faster than your next meeting opportunity will take you. You’ve never delivered a project, on your own, without someone prodding you for updates. We have no project or delivery managers to fill your calendar with busy work, but the flip side is you have to do your project management, seek the help you need to get unstuck and cut scope when it’s worthwhile. Technology Stack I’m sharing our tech stack with the caveat that we don’t require previous experience in it: TypeScript (frontend &amp; backend), Node.js, React, Apollo GraphQL, Postgres, Redis. We use Datadog and Sentry on 100% cloud-based (AWS) infra. We take developer experience and reliability seriously: all engineers are on call in a follow-the-sun model, and everyone contributes to developer tooling. What We’re Building Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Engineering Culture Our engineering culture is motivated by Abhik and Benji’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). Collaboration is Natural, Communication is Deliberate Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it here). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. Increase Leverage, not Team Size We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience 💪🏾 Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app (short video on it here). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: “Working on a generic framework for Surveys is really paying off! I was able to add the Automation Rules feature to EEOC Forms really quickly because I had some generic components and backend code. Took about 10 minutes and ~50 lines of code to do!” Give Engineers Ownership &amp; Autonomy We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end-user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end-to-end, from speaking with users to writing product specs to UX design. These are skills that we often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Put Effort into Diversity Diverse teams drive innovation and better outcomes. Having seen his mother and partner build their careers as minority women in non-diverse fields, Abhik wants to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups (including my daughter!). Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. Interview Process At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing tech specs collaboratively, and talking through decisions (no leetcode or whiteboard exercises). Our interview process is three rounds: 30-minute introduction call A technical screen (60-minute in-person) A virtual on-site of 2 hours and 45 minutes (can be split across two days) Our VP of Engineering, Abhik will be your main point of contact and prep you for interviews. You’ll meet your manager, 4 to 6 people in engineering (with 15 minutes in each interview to ask them questions) including our entire current SRE team. If we don’t give an offer, we’ll provide feedback! Your First Two Months at Ashby We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment sets up with a single script, you push your first change on day one, and we spend the rest of the time building your confidence in our codebase and practices culminating in the delivery of a prominent, impactful feature. We’ll pair you with a peer who’ll guide you through your first tasks and be someone you rely on, from answering questions to pair programming. Benefits Competitive salary and equity. 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅. Twelve weeks of fully paid family leave in the US. We plan to expand this to employees in other countries as situations arise. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. If you’re in the US, top-notch health insurance for you and your dependents with all premiums covered by us. Ashby’s succes

Principal Platform Engineer - Americas

<h3>Job Description</h3>
Job DescriptionCompany Description 
Our Mission
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description 
Your Career
As a Principal AIOps Engineer for the Enterprise AI Platform, you will be a pivotal technical leader responsible for designing, developing, and implementing AI-driven solutions to enhance the reliability, performance, and efficiency of our critical IT and business systems. You will leverage the core AI platform to build sophisticated AIOps capabilities, transforming how we monitor, manage, and optimize our digital infrastructure and applications. This role requires a deep understanding of IT operations, machine learning, and scalable system design to proactively identify issues, automate remediation, and drive continuous improvement across the enterprise.
Your Impact
<ul>
<li>AIOps Platform Development: Design, develop, and implement advanced AIOps solutions, leveraging machine learning algorithms and data analytics to automate and enhance IT operations. This includes developing real-time processing solutions for observational data (e.g., logs, metrics, events, traces).</li>
<li>Anomaly Detection &amp; Predictive Analytics: Lead the implementation of AI/ML models for proactive anomaly detection, root cause analysis, and predictive insights into system health and performance across applications and infrastructure at enterprise scale.</li>
<li>Intelligent Automation &amp; Orchestration: Drive the automation of routine operational tasks, incident response, and remediation workflows using AI-driven agents and orchestration tools, minimizing manual intervention and improving operational efficiency.</li>
<li>Observability &amp; Data Integration: Collaborate with observability teams to ensure the efficient collection, processing, and transformation of high-volume, cross-domain data from diverse sources (events, logs, metrics, tickets, monitoring tools) into actionable intelligence for the AIOps platform.</li>
<li>Incident Management &amp; Remediation: Integrate AIOps insights with existing incident management systems, providing real-time intelligence to rapidly identify, diagnose, and resolve IT issues, leading to proactive issue resolution and reduced mean time to recovery (MTTR).</li>
<li>Performance Optimization: Utilize AI insights to continuously monitor, analyze, and fine-tune IT systems for peak operational efficiency, capacity planning, and resource optimization.</li>
<li>Technical Leadership &amp; Mentorship: Provide technical leadership and mentorship to other engineers, promoting architectural excellence, innovation, and best practices in AIOps development and operations.</li>
<li>Cross-Functional Collaboration: Partner with data scientists, ML engineers, software engineers, SREs, and IT operations teams to integrate AI/ML agents into the platform and ensure AIOps solutions align with business needs and deliver measurable ROI.</li>
<li>Innovation &amp; Research: Actively research and evaluate emerging AIOps technologies, generative AI, LLM models, ChatOps AI, and advanced RAGs, bringing promising innovations into production through POCs and long-term architectural evolution.</li>
</ul>
Qualifications 
Your Experience&nbsp;
<ul>
<li>10+ years of experience in software engineering, reliability engineering, or IT operations, including at least 5 years leading the design and implementation of AIOps solutions at scale.</li>
<li>Proven expertise in applying machine learning algorithms and data analysis techniques to solve complex IT operational challenges.</li>
<li>Strong hands-on experience in building and maintaining scalable data pipelines and workflows for efficient data collection, processing, and analysis from diverse IT sources.</li>
<li>Proficiency in programming languages such as Python, Go, Java, or Scala.</li>
<li>Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with data processing frameworks (e.g., Apache Kafka, Apache Spark) and IT monitoring tools (e.g., Prometheus, Grafana, Datadog, Splunk).</li>
<li>Deep understanding of distributed systems architecture, microservices, and their operational challenges.</li>
<li>Demonstrated ability to translate business requirements and operational pain points into technical specifications and deliver robust AIOps solutions.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex platform-related issues.</li>
<li>Strong communication and interpersonal skills, with a track record of influencing technical and cross-functional stakeholders.</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.</li>
</ul>
Preferred Qualifications
<ul>
<li>Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.</li>
<li>Experience with agentic systems and AI agents for automation.</li>
<li>Experience with DevOps practices and CI/CD pipelines in an AIOps context.</li>
<li>Prior experience in cybersecurity operations or building AIOps solutions for security threat detection and response.</li>
</ul>
The Ideal Candidate: You are a highly analytical and hands-on AIOps leader who is passionate about leveraging AI to drive operational excellence and resilience. You thrive in a fast-paced environment, can bridge the gap between AI development and IT operations, and are committed to building intelligent, self-healing systems that power a world-class digital experience.
 Additional Information 
The Team
Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected /YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found&nbsp;here.
Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at&nbsp;&nbsp;<a href="mailto:accommodations@paloaltonetworks.com" target="_blank">accommodations@paloaltonetworks.com</a>.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.

353 Engineering Jobs in San Lorenzo, CA, USA