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<h3>Job Description</h3>
We are looking for an experienced, innovative product minded python software engineer to lead technical initiatives, mentor team members, and drive the development of a new team's core capabilities. You will have the opportunity to architect and build AI agents; specifically, this is for a recently launched product that is positioned well in the market.
 
-Looking for builders, self-starters, and candidates who have achieved exceptional things early in their career
-This role requires in-office work in San Francisco. Candidates outside of San Francisco unwilling to relocate will not be considered
-Experience in a high growth startup highly preferred

Founding Engineer

<h3>Job Description</h3>
YC-backed AI Startup | Agentic Systems &amp; LLMs | $150K-$250K + Equity
 
Our client is a YC-backed healthcare AI startup founded by a technical team from Stanford. They're building voice and text-based agentic systems already being used in real-world clinical environments - and they're now hiring a Founding AI Engineer to scale that vision.
 
You’ll work directly with the founders to design, build, and deploy intelligent agents powered by LLMs. This is a high-ownership, high-impact role where you’ll shape both product and technical direction from the ground up.
 
What you’ll do:
 
<ul>
<li>Build production-grade agentic systems powered by LLMs</li>
<li>Prototype and ship using frameworks like LangChain/LangGraph</li>
<li>Work across voice and text modalities to create seamless AI interactions</li>
<li>Design intelligent tools that integrate with complex healthcare systems</li>
<li>Help steer technical decisions across infrastructure and product</li>
</ul>
 
About you:
 
<ul>
<li>3-5 years of experience building AI or ML products - or exceptional academic/project work</li>
<li>Hands-on experience with conversational AI, LLMs, and agentic architectures</li>
<li>Proficient in TypeScript or Python (or confident switching between them)</li>
<li>Bonus: experience in healthcare AI, regulatory environments, or voice interfaces</li>
<li>Startup mindset: proactive, creative, and thrives in high-velocity teams</li>
</ul>
 
Location &amp; Compensation:
 
<ul>
<li>SF preferred (in-person collaboration with founding team)</li>
<li>Salary: $150K-$250K USD</li>
<li>Equity: 0.5%-2% depending on experience and fit</li>
</ul>

Founding Agentic AI Engineer

<h3>Job Description</h3>
Description of Position:
Nelumbo is a science and technology company focused on generating advanced materials through surface modification. Through a proprietary process, Mineral®, Nelumbo is eliminating PFAS from the textile supply chain and replacing it with more sustainable materials. Kuraray, a Japanese manufacturer of chemicals, resins, and fibers, recently acquired Nelumbo to accelerate the deployment of the technology.&nbsp;
 
Nelumbo is seeking a highly motivated and capable Sr. Textile Development Engineer to support the development of textile coatings and processes for polymer-based substrates. The ideal candidate will have technical experience in textile development, specifically coating applications or surface modifications. Previous experience working with Asian supply chains is a plus.
 
 
Key Responsibility:
<ul>
<li>Be the technical expert for understanding the delicate relationship between textile mechanical properties, chemical characteristics, and water repellent performance</li>
</ul>
 
 
Main Deliverables
First 30 days
<ul>
<li>Integrate into a multi-national, multi-cultural, multiple business unit, -corporate team</li>
<li>Complete safety training for operating in wet-lab (sample preparation, sample evaluation, sample analysis)</li>
<li>Become an expert in proprietary process used to create laboratory samples</li>
</ul>
 
First 60 days
<ul>
<li>Understand differences between laboratory and manufacturing processes</li>
<li>Prepare and generate samples for existing and new customers</li>
<li>Communicate results in both internal and customer-facing meetings</li>
</ul>
 
First 120 days
<ul>
<li>Integrate results into a matrix that summarizes key performance criteria</li>
<li>Lead next-on material development for new customers</li>
<li>Develop new procedure(s) for process technology</li>
<li>Draft work instructions, test methods, and technical reports in support of product development activities</li>
</ul>
 
 
Desired Qualifications:
<ul>
<li>Bachelor’s Degree required in Engineering (Chemical, Materials Science, Chemistry or Textile) or related discipline</li>
<li>5 years of experience in textile development</li>
<li>Familiarity with both standardized testing (ASTM, AATCC) and advanced analytical techniques such as ICP-OES, FTIR, SEM, XRD, zeta potential, etc.</li>
<li>2+ years of wet process chemistry experience</li>
<li>Demonstrated abilities in problem solving and experimental design to provide appropriate solutions</li>
<li>Excellent communicator who can craft different messages depending on the audience</li>
<li>Cross-cultural experience partnering with Asian supply chains (domestic and international travel may be required ~5-10% of the time)</li>
</ul>
 
 
Nelumbo Background:
Nelumbo is a UC Berkeley spin-out company commercializing advanced materials to increase sustainability in the built environment and consumer goods. Our materials leverage nanoscale features to enhance the surface performance of materials in different environments. This role will support the development of nanostructured materials for primarily polymer based consumer goods.
 
We are a team of highly motivated engineers and scientists with insatiable curiosities and a strong desire to enable completely new classes of products through novel technologies. The processes to create our materials are multistep immersions in either batch or continuous process lines involving proprietary metal-organic chemistry and are currently being evaluated at commercial manufacturing scale.&nbsp;
 
For more information, visit our webpage: <a href="http://www.nelumbo.io" target="_blank">www.nelumbo.io</a>

Senior Textile Development Engineer

<h3>Job Description</h3>
SuperDial is looking for a Staff Machine Learning Engineer (MLE) to build and deploy AI-driven solutions that transform healthcare operations. This role is for an engineer who thrives on scaling ML models, optimizing inference pipelines, and deploying real-world AI applications in production. If you enjoy solving complex engineering challenges, fine-tuning large models, and working with best-in-class tools to power AI-driven decision-making, we want to hear from you!
 
About the role:
<ul>
<li>Design, develop, and deploy production-grade machine learning models to enhance revenue cycle management and healthcare workflows.</li>
<li>Optimize and scale ML inference pipelines for efficiency, latency, and reliability.</li>
<li>Work with engineering teams to integrate AI solutions into cloud-based and on-prem environments, ensuring seamless deployment and scalability.</li>
<li>Automate and maintain MLOps pipelines, including data preprocessing, model training, evaluation, and deployment.</li>
<li>Implement monitoring and observability for ML models in production to ensure performance, drift detection, and continuous improvement.</li>
<li>Stay at the forefront of LLM and voice AI advancements, leveraging state-of-the-art techniques to improve our AI stack.</li>
</ul>
 
About You:
<ul>
<li>5+ years of experience in machine learning engineering, AI infrastructure, or software engineering with a focus on ML deployment.</li>
<li>Strong proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.</li>
<li>Deep understanding of model deployment and serving technologies (e.g., TensorRT, Triton Inference Server, ONNX, FastAPI).</li>
<li>Experience with MLOps tooling (e.g., Kubeflow, MLflow, SageMaker, Vertex AI) and containerization (Docker, Kubernetes).</li>
<li>Familiarity with cloud platforms (AWS, GCP, Azure) and deploying AI/ML services in production environments.</li>
<li>Strong software engineering skills, with experience in designing scalable and maintainable ML systems.</li>
</ul>
 
Preferred Qualifications:
<ul>
<li>You have experience working with large language models (LLMs) and optimizing generative AI workflows.</li>
<li>You’ve worked with EHR systems (Epic, Cerner, Meditech) and understand healthcare data interoperability (FHIR, HL7, CDA).</li>
<li>You’ve built real-time AI applications, including voice AI, speech recognition, or NLP pipelines.</li>
<li>You have experience in vector databases (e.g., Pinecone, Weaviate) and retrieval-augmented generation (RAG) architectures.</li>
</ul>
 
What’s in it for you?
<ul>
<li>The opportunity to build and scale AI models in production that directly impact healthcare efficiency.</li>
<li>A role where engineering meets AI, giving you full ownership of ML deployment and optimization.</li>
<li>Competitive salary, equity options, and benefits, including health, dental, and vision coverage.</li>
</ul>
 
Who we are:
SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare!
 
The base salary for this role ranges from $145,000 to $240,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.

Staff Machine Learning Engineer

<h3>Job Description</h3>
Position Title:&nbsp;Nanofabrication Engineer (Internship – 3-to-6 months)
Location:&nbsp;Stanford Nano Shared Facilities &amp; UC Berkeley Nanofabrication Lab
Start Date:&nbsp;Immediate
Work Authorization:&nbsp;U.S. work authorization required
To Apply:&nbsp;Please send your resume to&nbsp;<a href="mailto:homer@imagia.io" target="_blank">homer@imagia.io</a>
 
About Imagia:
Imagia is a venture-backed technology company on the forefront of commercializing breakthrough optical metasurfaces. We place an emphasis on achieving radically new and innovative solutions that are impossible to achieve with traditional optics. Applications span a wide range of advanced display and image sensing platforms.&nbsp;
 
Position Overview:
We are seeking a motivated&nbsp;Nanofabrication Engineer (Intern)&nbsp;to join the Imagia team in support of advanced metasurface optics research and development at Stanford and UC Berkeley’s nanofabrication facilities. This 3-to-6-month internship provides extensive training and hands-on experience with state-of-the-art micro- and nanofabrication tools, processes, and methods. Successful performance during the internship may lead to a full-time employment opportunity.
 
Key Responsibilities:
·&nbsp;&nbsp;&nbsp;Responsible for fabricating Imagia’s optical metastructures utilizing the Stanford Nano Shared Facilities and UC Berkeley Nanofabrication Laboratory.
·&nbsp;&nbsp;&nbsp;Operate cleanroom equipment for photolithography (direct-write and mask-based), electron beam lithography (EBL), thin film deposition (PVD, CVD/PECVD), etching (dry and wet), and metrology (SEM, FIB-SEM, optical microscopy).
·&nbsp;&nbsp;&nbsp;Support process development, troubleshooting, and optimization for optical and photonic device fabrication, including metamaterials and nanomaterials.
·&nbsp;&nbsp;&nbsp;Fully trained and qualified by the staff of Stanford and Berkeley Nanofab facilities to independently operate the required tools and processes.
·&nbsp;&nbsp;&nbsp;Maintain regular communication and coordination with Imagia’s product development and design teams.
 
Minimum Qualifications:
·&nbsp;&nbsp;&nbsp;Master’s degree in Materials Science, Chemical Engineering, Applied Physics, or a related discipline.
·&nbsp;&nbsp;&nbsp;1-2 years of hands-on experience in nanofabrication or semiconductor manufacturing within cleanroom environments.
·&nbsp;&nbsp;&nbsp;Familiarity with cleanroom protocols, process integration, and operation of nanofabrication equipment.
·&nbsp;&nbsp;&nbsp;Strong skills in data analysis, technical documentation, and clear communication.
 
Preferred Qualifications:
·&nbsp;&nbsp;&nbsp;Experience working in Stanford SNSF and/or UC Berkeley Nanofabrication Laboratory.
·&nbsp;&nbsp;&nbsp;Exposure to advanced lithography techniques (e-beam lithography, direct write, mask-based, maskless), PVD/CVD deposition processes, dry/wet etching, and nanostructure characterization methods.
·&nbsp;&nbsp;&nbsp;Background in semiconductor processing, optical device fabrication, photonics, or nanomaterials/metamaterials.
 
Key Attributes:
·&nbsp;&nbsp;Strong problem-solving abilities and attention to detail.
·&nbsp;&nbsp;Excellent interpersonal skills with ability to work in a collaborative, multidisciplinary environment.
·&nbsp;&nbsp;Desire to learn, grow, and potentially transition into a permanent position.
 
Work Environment:
·&nbsp;&nbsp;&nbsp;Position requires frequent standing, cleanroom gowning, and handling of chemicals and equipment in a cleanroom setting.

Nanofabrication Engineer (Internship)

<h3>Job Description</h3>
Head of Compiler Engineering 
 
We are seeking an engineering leader to direct a 50+ person Compiler, Runtime &amp; Performance group, with the task of scaling this to 150 people globally for a team building their second generation custom AI processor.
 
The team have already taped there first chip, now working on their second generation and rearchitecting and improving the current generation. They are now looking to bolster their leadership group as they scale heavily across the US and in their global teams.
 
You will guide the build and delivery of a customer facing Compiler &amp; Runtime stack, whilst directing &amp; growing a large globally distributed team.
 
We are looking for a Head of Compiler Engineering with: 
 
<ul>
<li>Experience leading large engineering teams, with experience of or willingness to, lead globally distributed teams where managing time zones is a factor</li>
<li>Demonstrable experience building and delivering compiler technologies, preferably within LLVM, MLIR or TVM environments</li>
<li>A track record working in AI accelerator, semiconductor or GPU focussed environments</li>
</ul>
 
Compensation: Highly competitive base salary plus substantial bonus and stock
 
Location: Bay Area, hybrid flexibility with the willingness to travel

Head of Compiler Engineering

<h3>Job Description</h3>
Engineer | Reimagine How Homes Get Built
&amp;#x1F4CD; Palo Alto, CA | Remote-friendly | Must be located in the U.S. | Equity-based role
 
 
Wonderwall Solutions is transforming fragmented processes — architecture, engineering, and construction — into a structured, product-driven experience for both builders and consumers
 
 
About the Role
 
This is a hybrid position at the intersection of mechanical systems and software infrastructure. We’re looking for someone who can think across domains and help shape systems that impact both the digital and physical layers of housing
 
 
Scope
 
Mechanical Engineering
<ul>
<li>Systematize construction and MEP logic into decision frameworks</li>
<li>Contribute to how site, structural, and regulatory factors inform design workflows</li>
<li>Help define technical patterns for scalable homebuilding</li>
<li>Bring field and engineering knowledge into core platform logic</li>
<li>Ensure decisions align with real-world construction, permitting, and supply constraints</li>
</ul>
 
Software Engineering
<ul>
<li>Design and implement backend systems that power the platform</li>
<li>Build tools and workflows that translate complex inputs into clear outputs</li>
<li>Work across data models, API logic, and internal infrastructure</li>
<li>Collaborate on product decisions and support pilot deployments</li>
<li>Contribute to clean, scalable codebases (Python preferred, but not required)</li>
</ul>
 
 
You Might Be:
<ul>
<li>A mechanical, civil, or structural engineer who also codes</li>
<li>Experienced in (or curious about) housing, zoning, or construction supply chains</li>
<li>A systems thinker who reduces complexity into modular logic</li>
<li>Independent, execution-oriented, and excited by product challenges</li>
<li>Motivated to build from first principles — not templates</li>
</ul>
 
 
Important Notes:
<ul>
<li>We do not provide H1B sponsorship, unless you have significant U.S.-based experience in the field</li>
<li>Must be located in the U.S. — remote or hybrid is welcome, but proximity to the San Francisco Bay Area is a strong plus</li>
<li>This is an equity-based role (not salaried at this stage)</li>
</ul>
 
 
To Apply
 
Send a short note to <a href="mailto:salomon.omer@wonderwall-solutions.com" target="_blank">salomon.omer@wonderwall-solutions.com</a>
Include relevant experience, GitHub or code samples, and a sentence or two on why you’re excited about building real-world systems
We prioritize clarity, originality, and execution over formal credentials

Engineer

<h3>Job Description</h3>
Senior AI Engineer 
 
Compensation: $170K–$300K base DOE + equity + full benefits
 
We’re partnered with a unicorn Fintech company that's revolutionizing the lending industry through cutting-edge AI. Founded by former executives from top-tier tech firms and investment banks, this is a rare opportunity to join a high-growth business on the verge of profitability, backed by leading Tier-1 investors.
 
The company is about to launch an entirely new, industry-first product—a greenfield initiative leveraging Generative AI to develop an agentic system and application poised to transform the customer experience. With 5x year-over-year growth over the past three years, the trajectory is steep and exciting.
 
You'll join a world-class engineering team composed of alumni from Google, Meta, and Stripe. Initially, your work will focus on core platform development as a product engineer, building and shipping new features. Within 6–12 months, your role will evolve into leading the design, development, and deployment of AI-driven capabilities such as document classification, contact center analytics, and domain-specific agentic AI.
 
You’ll also spearhead the implementation of generative AI use cases to streamline operations and manage the full lifecycle of open-source deep learning models across advanced infrastructure.
 
What We're Looking For:
 
<ul>
<li>2+ years of hands-on software engineering experience, ideally with strong Python skills and a focus on AI product development</li>
<li>Proven experience building and shipping AI-powered applications (AI/ML, LLMs, agentic systems)</li>
<li>Solid engineering foundation with experience in AI/ML, preferably in environments such as high-growth startups, big tech companies, or top AI firms (e.g., Databricks, Snowflake, Palantir)</li>
<li>Interest or experience in full-stack development is a plus</li>
</ul>
 
 
This is a chance to be a founding member of a brand-new team building a transformative product, one that could reshape the market and set new industry standards.
 
Apply now to learn more.

820 Engineering Jobs in San Lorenzo, CA, USA