field_job_occupational_field_parents_all

field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
This is an opportunity to join a high-growth start-up that is revolutionising automotive perception technology. With next-generation sensing technology, they are redefining the capabilities of imaging radar, delivering unprecedented resolution and performance. 
 
 
Role &amp; Responsibilities
 
In this role, you will lead the validation and characterization of RFICs and packages across the product lifecycle, from prototype through high-volume production at the wafer level and packaged die. You will have strong knowledge and experience in wafer-level probe tests, RF measurements, automated test development and a deep understanding of silicon validation, test hardware design, and manufacturing yield optimization. 
 
ATE Development &amp; Production Ramp
<ul>
<li>Translate bench tests to automated test equipment (ATE) platforms (i.e., Advantest, Teradyne, NI).</li>
<li>Develop test hardware (load boards, sockets, fixtures) and software for high-volume production.</li>
<li>Reduce test time, improve yield, and ensure test coverage</li>
</ul>
 
Prototype Evaluation &amp; Characterization
<ul>
<li>Elicit test requirements from designers</li>
<li>Collaborate with design and systems teams to define detailed test plans (test list, test equipment and measurement algorithms, etc.)</li>
<li>Develop and execute RFIC validation tests for key performance parameters (i.e., gain, noise figure, linearity, phase noise, S-parameters).</li>
<li>Use lab equipment (VNAs, spectrum analyzers, signal generators, etc.) to verify and debug new designs.</li>
</ul>
 
 
Skills &amp; Experience
 
<ul>
<li>Bachelor’s degree in Electrical Engineering or an equivalent </li>
<li>10+ years of relevant experience in semiconductor ATE for RF, Analog, and Mixed Signal circuits</li>
<li>Experience using electrical test instrumentation</li>
<li>Experience developing high-volume automated testing for silicon wafers</li>
<li>Experience in developing high-volume socket testing of silicon packages</li>
<li>Ability and desire to work on rapidly paced projects with several design tasks</li>
<li>Excellent interpersonal, problem-solving, and communication skills</li>
</ul>
 
 
Locations
 
Bay Area CA or Boston MA

Lead IC Test Engineer- RF/mmwave

<h3>Job Description</h3>
Senior GNSS Estimation Engineer
$140,000 - $190,000
Full-time - On-site
Burlingame, CA
Company Overview:
 Our client is developing a modern commercial satellite system designed to provide robust and accurate Position, Navigation, and Timing (PNT) services. Their patented small satellite architecture offers a secure, high-accuracy alternative to traditional GNSS, ensuring resilience and reliability for industries moving towards autonomy.
Position Summary:
 The Senior GNSS Estimation Engineer will play a critical role in the development and implementation of advanced navigation and estimation algorithms for space and ground systems. You will work on high-precision positioning techniques, satellite orbit determination, clock estimation, and atmospheric modeling. As part of a small, fast-moving team, you will contribute to both research and practical application, ensuring that our client's navigation solutions meet the highest standards for security and accuracy. You will collaborate closely with the payload software team to develop and validate test procedures for both test and flight hardware.
Primary Duties and Responsibilities:
<ul>
<li>Develop and implement advanced estimation algorithms for high-precision GNSS correction systems (PPP-AR, PPP, RTK, etc.).</li>
<li>Work on integer ambiguity resolution, precision orbit determination, clock estimation, and integrity for safety-critical applications.</li>
<li>Model and analyze atmospheric effects on signal propagation to improve positioning accuracy.</li>
<li>Collaborate with cross-functional teams to integrate navigation solutions into space and ground systems.</li>
<li>Develop testing and validation frameworks to ensure system reliability and performance.</li>
<li>Contribute to the overall architecture and software development of the navigation system.</li>
<li>Support hardware integration, system simulation, and real-world testing.</li>
</ul>
Minimum Qualifications:
<ul>
<li>Master’s or PhD in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Geomatics Engineering, Mechatronics, or a related field.</li>
<li>3+ years of experience in navigation, localization, or estimation algorithm development for aerospace, automotive, or industrial applications.</li>
<li>Strong proficiency in C++ and Python.</li>
<li>Expertise in statistical signal processing and estimation techniques such as Kalman filtering.</li>
<li>Experience with satellite systems, orbital mechanics, and orbit determination.</li>
<li>Familiarity with atmospheric sciences and modeling.</li>
<li>U.S. citizenship, lawful permanent residency, or other protected status per 8 U.S.C. 1324b(a)(3) due to government space technology export regulations.</li>
</ul>
This is a unique opportunity to work on cutting-edge satellite navigation technology and contribute to the future of global positioning systems.

Estimation Engineer

<h3>Job Description</h3>
Research Engineer – Post Training Reinforcement Learning
Location: San Francisco (Hybrid)
 
About TensorStax
TensorStax is building fully autonomous AI systems to manage and maintain mission-critical data infrastructure and pipelines. We leverage reinforcement learning to enhance language models' ability to reason over large-scale data lakes and warehouses, detect pipeline failures, construct new pipelines with high precision, and enable agentic behavior—allowing systems to proactively identify and resolve issues autonomously.
 
What You’ll Do
As a Research Engineer specializing in Reinforcement Learning, you will:
 
<ul>
<li>Develop and refine reward functions to optimize agent behavior for complex data engineering tasks.</li>
<li>Create RL gym environments for language model agents.</li>
<li>Fine-tune language models using reinforcement learning techniques such as PPO, DPO, and KTO.</li>
<li>Stay at the forefront of research on RL for language models, incorporating advancements like GRPO, SWE-Gym, and SWE-RL into practical applications.</li>
<li>Curate and build high-quality datasets for supervised fine-tuning (SFT) and RLHF.</li>
<li>Design experiments to evaluate and improve the agentic capabilities of language models in data environments.</li>
</ul>
 
What We’re Looking For
<ul>
<li>Deep understanding of reinforcement learning, reward shaping, and optimization strategies.</li>
<li>Strong familiarity with LLM fine-tuning techniques (PPO, DPO, KTO) and their applications in reinforcement learning.</li>
<li>Knowledge of recent advancements in RL for language models (GRPO, SWE-Gym, SWE-RL).</li>
<li>Experience curating and constructing high-quality datasets for fine-tuning.</li>
<li>Strong problem-solving skills and a history of working on complex ML projects.</li>
<li>High agency—ability to work independently, experiment proactively, and drive research initiatives forward.</li>
</ul>
 
Bonus Points
<ul>
<li>Experience with distributed training in PyTorch (DDP, FSDP).</li>
<li>Hands-on experience designing RL environments for traditional RL problems.</li>
<li>Contributions to open-source projects in RL, LLMs, or ML infrastructure.</li>
<li>Familiarity with data lakes and warehouses (Snowflake, BigQuery, Redshift).</li>
</ul>
 
Benefits
<ul>
<li>100% employer-covered health, dental, and vision insurance.</li>
<li>401(k) with company match.</li>
<li>Access to Bay Club or Equinox in San Francisco.</li>
</ul>

Research Engineer, Post Training RL

<h3>Job Description</h3>
Entelligence AI makes code reviews simpler &amp; faster.
We're building AI tools that help engineering teams automate code reviews, quickly understand complex codebases, and generate useful team reports. We're a lean, efficient team that ships frequently, moves quickly, and offers complete autonomy to every engineer.
 
What would make you a great fit 
<ul>
<li>Experience with AI dev tools</li>
<li>Wants to dive deep into evals, experimentation and agents</li>
<li>5-7 years experience with traditional ML </li>
</ul>
 
Benefits and perks
We offer a competitive salary, meaningful equity, comprehensive health insurance (including dependents), an equipment stipend, and a highly autonomous, results-oriented work environment.
What makes Entelligence AI different:
<ul>
<li>True autonomy: We trust you to make decisions and own your work completely.</li>
<li>Real ownership: We expect you to significantly shape and impact our products and company direction.</li>
<li>Technical challenges: You'll regularly face interesting and impactful AI problems, directly improving workflows for engineering teams.</li>
<li>Fast growth: We’re still early, growing rapidly, and offer plenty of opportunities for your professional development.</li>
</ul>
 
&amp;#x1F3D7;️ Hiring Process
(Flexible; we adjust around your schedule.)
<ol>
<li>Fill out our application form.</li>
<li>Quick review and response.</li>
<li>Short 30-minute chat about your background and experience.</li>
<li>Paid trial period (~2 weeks).</li>
<li>Officially join Entelligence AI!</li>
</ol>

Staff AI Engineer

<h3>Job Description</h3>
⚡ Role: Senior Engineering Manager/Director
&amp;#x1F30E; Location: San Francisco Bay Area (On-Site)
&amp;#x1F4B0; Salary: $210,000-$250,000
 
 
⚡ Company Overview:
This is an exciting opportunity to join a cutting-edge early-stage technology company at the forefront of transforming energy storage and battery management. Operating in the rapidly growing grid-scale and electric vehicle battery sectors, the company is backed by strong intellectual property and visionary leadership. Their breakthrough technologies are addressing some of the most pressing safety and performance challenges in the industry, making a significant impact on the transition to clean and renewable energy. They are now actively looking for a Senior Engineering Manager/ Director for the Hardware Engineering Team.
 
⚡ Position Summary:
<ul>
<li>Lead the design and development of high-efficiency power conversion solutions (e.g., DC-DC converters), exploring innovative architectures and control techniques to optimize performance.</li>
<li>Define the Battery Management System (BMS) product roadmap for both grid-scale energy storage and electric vehicle applications.</li>
<li>Provide hands-on support during product field deployment and offer technical assistance to key customers as needed.</li>
<li>Play a key role in the team’s expansion and overall success.</li>
</ul>
 
 
⚡ What You Bring:
<ul>
<li>BS, MS, or PhD in Electrical Engineering, Computer Engineering, or a closely related field.</li>
<li>10+ years of experience in relevant roles.</li>
<li>Strong knowledge of Battery Management System (BMS) design principles and characterization methodologies.</li>
<li>Solid foundation in both analog and digital circuit design, as well as microprocessor-based system architecture.</li>
<li>Proven experience in the design, integration, and testing of firmware- and software-controlled hardware systems.</li>
<li>Hands-on experience working with high-power and high-voltage electronic systems.</li>
</ul>
 
⚡ Compensation and Benefits:
<ul>
<li>Competitive salary with growth potential.</li>
<li>Opportunity to contribute to transformative advancements in battery safety and energy storage technologies.</li>
<li>Collaborative and innovative work environment within a rapidly growing startup.</li>
</ul>
 
 
&amp;#x1F4E7; Sounds like you? Please click on the ‘Easy Apply’ button. You can also send your resume directly to <a href="mailto:sean.suen@storm4.com" target="_blank">sean.suen@storm4.com</a> or message me directly!
 
⚡ Storm4 is a specialist GreenTech recruitment firm with clients across Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at <a href="http://www.storm4.com" target="_blank">www.storm4.com</a> and follow the Storm4 LinkedIn page for the latest jobs and information

Director of Hardware Engineering

<h3>Job Description</h3>
We’re looking for experienced generalist founding engineers who thrive in fast-moving startups, and are excited to create an AI native workspace.
 
Qualifications
<ul>
<li>Willingness to work in-person in San Francisco 5-6 days per week</li>
<li>Experience building production application layer AI products</li>
<li>Obsessed with speed and scale</li>
<li>Ability to work in fast-paced and ambiguous environments</li>
<li>Insatiably curious and learns quickly</li>
<li>History of superlative achievement</li>
<li>Experience with GoLang, TypeScript, NextJS, Redis, RAG systems, and agent architectures is a plus</li>
</ul>
 
Responsibilities
<ul>
<li>Build in a full stack capacity</li>
<li>Talk to users, track metrics, and iterate quickly</li>
<li>Scope out and implement core features</li>
<li>Shape product vision and roadmap</li>
</ul>
 
About Paradigm
Paradigm is a reimagined workspace with AI at its core. Paradigm is based in San Francisco and is backed by Y Combinator and the best builder/operators out there including cofounders of Dropbox, Intercom, Langchain, Redis, Behance, Posthog, and more.
Our team is extremely small and talent-dense. We are serial builders who have worked at companies like Google, MIT, Microsoft (Excel Team), Citadel, Penn, and more.
As agents become more and more powerful, accessible large scale agent-orchestration becomes the biggest opportunity. If building a magical and accessible agent experience excites you, this is the right place for you.
 
Compensation
150-250k base salary + generous equity. This salary range does not encompass the full spectrum of benefits such as generous equity grants, health insurance, 401k matching, provided meals, team offsites, and potential signing or relocation bonuses.

Founding Engineer

<h3>Job Description</h3>
About Prophecy 
Prophecy is the data copilot company, trusted by Fortune 500 enterprises in banking, insurance, healthcare, life sciences, and tech to deliver clean, reliable, and timely data for AI and analytics. Our Data Transformation Copilot empowers data users to develop, deploy, and observe tens of thousands of pipelines on cloud platforms, handling massive workloads. Backed by top VCs like Insight Partners, SignalFire, Databricks, and JPMorgan Chase, Prophecy leads the convergence of code and data context. Expanding AI-tools for software engineering, our low-code solution combines AI, systems programming, and intuitive UX to redefine data transformation—making it faster, smarter, and accessible.
 
The AI/ML Agentic Workflows Engineer will:
<ul>
<li>Provide hands-on technical leadership to design, develop, optimize and deploy Generative AI features, leveraging expertise in LLMs, RAGs, NLP, and AI infrastructure to optimize Agents quality, reliability and performance.</li>
<li>Support and Lead a strong technical team across the US and Bangalore, guiding them on state-of-the-art approaches to ML system design, Agent design and orchestration while establishing the best in class data-driven development practices.</li>
<li>Build agents that streamline data extraction, transformations and analysis.</li>
<li>Define scalable evaluation strategies that balance AI with human reviewers.</li>
</ul>
 
What You'll Need
<ul>
<li>Proven success delivering AI and agentic products from concept to adoption, with hands-on design of real-time ML systems.</li>
<li>Experience with GenAI, LLMs, NLP, RAG, and Knowledge Graphs across the ML lifecycle (train, optimize, deploy, monitor).</li>
<li>Expertise in multi-agent systems and frameworks like LlamaGraph or LangChain for complex workflows.</li>
<li>Proficiency deploying and scaling ML/agentic solutions in cloud environments (e.g., AWS).</li>
<li>Passion for rapid iteration and high-quality execution with an entrepreneurial mindset.</li>
<li>BS in CS or equivalent, 5-10 years of experience; MS/PhD preferred.</li>
</ul>
 
What Will Make You Stand Out
<ul>
<li>ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).</li>
<li>Experience with big-data engines like Spark.</li>
<li>Compiler development for languages like SQL, Python, or Scala.</li>
<li>Optimization of ML models for low-latency, high-throughput production use.</li>
<li>Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).</li>
<li>Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).</li>
<li>Skill in evaluating tech and driving build/buy decisions.</li>
</ul>
 
Benefits and Perks 
<ul>
<li>Prophecy covers 99% of employee health insurance and 75% for dependents</li>
<li>We offer $200 per month towards wellness, gyms, massages, facials, and more!</li>
<li>Celebrate your birthday and anniversary with a day off!</li>
<li>Flexible PTO</li>
<li>Prophecy provides employees with a $500 professional development reimbursement every year</li>
<li>Company sponsored Long Term Disability and Life Insurance</li>
<li>FSA/HSA</li>
<li>Ability to have your fingerprint on an innovative platform</li>
<li>End-to-end ownership of your projects</li>
<li>And more!</li>
</ul>
 
*Benefits and perks may vary per country
 
Our Commitment to Diversity and Inclusion
At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

AI/ML Agentic-Workflows Engineer

<h3>Job Description</h3>
Work with Founders of Breakout Startups... We're looking for CTO types. Yes you.
 
Renumeration: $200-300k plus equity (0.3%-5%)
Location: SF In-office
Stage: Series A (growing fast, first 21 employees)
 
Imagine joining the founding teams of tomorrow’s breakout startups, working side-by-side with founders to build something truly game-changing. At Dynamism, we’re working with 20+ high-growth, SF-based startups to fill ~100 Senior /Staff-level software engineer roles across the stack—Full-Stack. If you’re someone with an entrepreneurial mindset and big ambitions, this is the moment to take a seat at the table and help build the next big thing.
 
Ready to make an impact? Apply to our talent pool by submitting your LinkedIn profile or resume. If accepted, we’ll connect you with curated, high-impact roles that match your expertise and goals.
 
Why You?
You’re here because you’re exceptional. You’re not just looking for any role—you want to make a difference, to create. And that’s exactly who we’re looking for. At Dynamism, we don’t just connect people with jobs; we partner with founders to find those who bring true "founder energy"—the drive, adaptability, and ambition it takes to thrive in fast-paced environments.
If you want to be part of the first 21 employees at one of these startups, with the opportunity to shape culture and growth from the beginning, this is the chance.
 
Our network offers you:
<ul>
<li>Direct Access to Founders: Picture yourself interviewing directly with the founders of some of the most promising, venture-backed startups in fields like AI, fintech, and SaaS.</li>
<li>High-Impact Roles: Step into roles that are anything but ordinary—whether as a Staff Engineer, Founding Engineer, or in other pivotal positions, you’ll be shaping tech, culture, and growth from the ground up. You’ll have the chance to make your mark from day one.</li>
<li>Fast-Tracked Opportunities: Imagine receiving a curated list of exclusive roles, companies where we can fast-track you to interviews with the founders. No more black holes in your job search—just clarity and direct connections.</li>
<li>Exclusive Founder Fireside Chats: Gain insider access to invite-only Founder Fireside Chats, where you can connect directly with founders from our network and get a real sense of their mission and vision.</li>
</ul>
 
Compensation
The startups we work with offer competitive packages with salary ranges between $160-300k, along with equity ranging from 0.3%-2%. We only partner with companies that are vetted, have real traction, and are on a fast growth trajectory. These companies work with us to build out world-class teams and specifically seek talent like you to help drive their next phase of growth.
 
You Belong Here
Joining Dynamism means more than just securing a job—it’s about stepping into a network of the best. From exited YC CTOs to founding engineers from unicorns like Brex, Scale AI, and Retool, and Quant PhDs who’ve crushed Presidents Club, only the top profiles are invited to join our exclusive community. And we’re here to vouch for you and to connect you with the founders who recognize your true potential.
 
Dynamism.io is led by Richard Serunjogi, an exited Y Combinator and Paul Graham backed founder and former McKinsey consultant, bringing together expertise in scaling and hiring for high-growth startups.
 
Examples of live opportunities we're supporting now.
 
<ul>
<li>Voice AI Platform Startup: Be part of a YC-backed company developing a “Retool for Voice AI” that’s empowering businesses to integrate voice technology across industries. We’re seeking a Founding Senior Platform Engineer (Backend) who’s passionate about building real-time infrastructure for voice AI.</li>
</ul>
 
<ul>
<li>Ecommerce Landing Page Platform: This team has built an “Unbounce for ecommerce,” empowering 5,000+ global brands to boost revenue with their no-code, AI-driven platform. If you’re ready to help lead the charge, Senior Software Engineers are needed to drive growth in this close-knit San Francisco-based team.</li>
</ul>
 
<ul>
<li>Freight Tech Startup: Imagine transforming an entire industry’s communications through AI. This YC-backed freight tech startup is hiring founding team members who will help build out a pilot SaaS product and shape the technical future of the company.</li>
</ul>
 
<ul>
<li>Property Management Automation: This AI-driven company is targeting the $100 billion property management market, automating essential tasks to save costs and boost efficiency. If streamlining and innovation are in your DNA, there’s a place for you here.</li>
</ul>
 
<ul>
<li>EdTech Startup: Backed by Sam Altman, Naval Ravikant, and other leading investors, this company is reimagining education, creating tech-driven learning experiences to deepen connections between teachers, students, and families. They’re looking for engineers ready to transform the future of education.</li>
</ul>
 
If you see yourself as someone who’s ready to make an impact, apply to our talent pool by submitting your application to this job post through LinkedIn or attaching your resume. If accepted, we’ll reach out with a curated list of high-impact roles that align with your expertise and career goals.
 
This isn’t just a job search—it’s an invitation to join a community of visionary engineers, work with founders building something real, and help shape the future from the ground up as one of the first 21 employees.

666 Engineering Jobs in San Lorenzo, CA, USA