San Francisco, California, United States · Hybrid
$200k–$385k/yr
TL;DR: If you: think deeply about how machines reason about the physical world; have a track record of exceptional research or engineering achievement; move effortlessly between papers, experiments, and production code; …
Skills: Spatial Reasoning, Geometric Deep Learning, 3D Vision, Multimodal Reasoning, World Models
San Francisco, California, United States · On-site
$170k–$205k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Distributed systems, Cloud services, Python, Go, Java
San Francisco, California, United States · Hybrid
$102k–$142k/yr
Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world’s top multinational corporations, law firms, banks and private equity firms o…
Skills: Python, R, NLP, Machine Learning, LLMs
San Francisco, California, United States · On-site
$260k–$300k/yr
About Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journ…
Skills: Data Engineering, SQL, Distributed Query Optimization, ETL/ELT Workflows, Data Modeling
San Francisco, California, United States · Remote OK
$250k–$350k/yr
About Astera: Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement…
Skills: Machine learning, Computational biology, Reinforcement learning, Generative diffusion models, Transformer architectures
San Francisco, California, United States · Hybrid
Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech. Tempo’s payment-first design provides a scala…
Skills: Full-stack engineering, Blockchain, Stablecoins, Payments, Fintech
San Francisco, California, United States · On-site
$260k–$300k/yr
About Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journ…
Skills: Backend engineering, Infrastructure engineering, Distributed systems, Concurrency, System design
San Francisco, California, United States · Hybrid
$200k–$385k/yr
TL;DR: If you: obsess over how intelligent systems learn, adapt, and improve over time; have a track record of exceptional research or engineering achievement; move effortlessly between papers, experiments, and productio…
Skills: Continual Learning, Meta-learning, Reinforcement Learning, Python, PyTorch
San Francisco, California, United States · On-site
$150k–$250k/yr
About Us Gumloop is the piece of AI infrastructure companies roll out to let everyone build agents securely. Let people who understand the problem build and share agents, manage their access to data, choose your AI model…
Skills: Salesforce, Clay, Apollo, AI agents, Workflow automation
San Francisco, California, United States · Hybrid
$320k–$480k/yr
Job Description Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent cu…
Skills: Global communications strategy, Executive advisory, Public relations, Internal communications, Crisis communications
San Francisco, California, United States · On-site
$135k–$242k/yr
Job Requisition ID # 26WD98421 Position Overview At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designin…
Skills: Data science, Applied ML, Predictive modeling, Product analytics, User behavior modeling
San Francisco, California, United States · Hybrid
$124k–$155k/yr
About the team Turo is searching for a highly motivated and versatile Security Engineer to support and execute our efforts in securing enterprise systems and data through the daily operation, administration, and implemen…
Skills: Zero Trust, Email security, Data Loss Prevention, Endpoint security, Identity governance
San Francisco, California, United States · On-site
About Sapiom Sapiom is the end-to-end platform that removes barriers to ship and scale agentic products. We unify everything an agent needs to act in the world: compute and sandboxes, memory, identity, domains and DNS, s…
Skills: Financial Modeling, Strategic Finance, FP&A, Corporate Development, Scenario Planning
San Francisco, California, United States · Hybrid
$22/hr–$25/hr
Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust …
Skills: Sales, Lead qualification, Communication, Time management, Organization
San Francisco, California, United States · On-site
About Latent Latent builds clinical intelligence that helps health systems run complex pharmacy operations, giving patient access to the medications they need, and helping care teams focus on serving patients. The work s…
Skills: Engineering Management, Team Leadership, Mentorship, Technical Strategy, Product Strategy
San Francisco, California, United States · On-site
$150k–$200k/yr
Remedy Robotics is a medical technology company developing robotic systems for endovascular intervention. Its proprietary technology combines robotics, machine learning, and advanced computer vision to help physicians pe…
Skills: Mechanical design, 3D modeling, OnShape, Solidworks, Structural analysis
San Francisco, California, United States · Hybrid
$160k–$200k/yr
About Simbe Simbe Robotics is a leading retail technology company providing in-store intelligence solutions that help retailers improve inventory availability, shelf execution, pricing accuracy, and operational performan…
Skills: Accounting, Financial reporting, Audit management, Technical accounting, Process design
San Francisco, California, United States · Hybrid
$200k–$290k/yr
TL;DR: If you: have a demonstrated track record of turning ambitious AI ideas into products people actually use; move effortlessly between research and engineering; have shipped something extraordinary, at work or outsid…
Skills: Python, Large Language Models, Agentic Frameworks, LangChain, Deep Learning
San Francisco, California, United States · On-site
$194k–$267k/yr
We’re looking for a Senior Product Manager, Domain Team Enablement to join Procore’s Product & Technology Team within Datagrid, Procore's Agentic AI product. In this role, you’ll lead the platform strategy that enables o…
Skills: Product Management, Platform Strategy, AI Infrastructure, LLMs, Autonomous Agents
San Francisco, California, United States · On-site
$240k–$285k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Corporate finance, Strategic transactions, Debt financings, Contract negotiation, Agreement drafting
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Research and develop new approaches for spatial reasoning, geometric understanding, and physical reasoning in large-scale AI systems. Own the full development pipeline from data generation and evaluation to final product integration.
Candidates should have a strong research background in 3D vision, robotics, or spatial reasoning and be fluent in Python and modern ML stacks like PyTorch or JAX. A PhD in Computer Science, Robotics, or a related field is preferred along with publications in top-tier venues.
TL;DR: If you:
think deeply about how machines reason about the physical world;
have a track record of exceptional research or engineering achievement;
move effortlessly between papers, experiments, and production code;
love difficult problems with no obvious solution…
… you should apply for this role!
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
We’re seeking an exceptional AI Research Scientist to join our small team of elite researchers and help us push the boundaries of AI applied to the physical world. This role blends cutting-edge AI research with hands-on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation.
Research and develop new approaches for spatial reasoning, geometric understanding, physical reasoning, and structured world modeling in large-scale AI systems.
Own the full development pipeline from data generation to evaluation to product integration.
Contribute to both research strategy and technical implementation—this is a hands-on role. Have ownership over your own applied research stream.
Investigate topics such as 3D reasoning, geometric representations, multimodal reasoning, world models, simulation, and physical intuition.
Stay on the edge of what’s possible and bring promising ideas into reality (e.g. following the literature, attending conferences, etc).
Have conducted research in one or more areas such as spatial reasoning, geometric deep learning, 3D vision, multimodal reasoning, world models, robotics, simulation, or related fields.
Are fluent in Python and modern ML stack such as PyTorch or JAX, and distributed training frameworks.
Creative approach to bringing definition and solutions to under-specificed challenges.
Are fascinated by how intelligent systems perceive, represent, and reason about the physical world.
Thrive in fast-moving, collaborative environments, and communicate technical matters with clarity.
Take a high-ownership, “make it work” approach to problem solving.
As a bonus, you may have:
A PhD (or equivalent experience) in Computer Science, Robotics, Engineering, Math, or a related field.
Publications in top-tier venues.
Experience working with CAD data, point clouds, meshes, simulation environments, or other geometric representations.
Onsite in San Mateo, CA. Relocation support available.
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
Initial screening call (30 mins)
Biographical/behavioural interview (60 mins)
Technical interview (75 mins)
CEO interview (30 mins)
Building engineering AGI for the physical world.
Based on 4905 listings with disclosed salaries, most technology jobs in San Francisco, CA pay between $130k–$280k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 6,273 open technology positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, Harvey, Amazon, Salesforce, among others. Browse the listings above to see every active employer.
Yes — 3587 of the 6273 open technology positions offer remote or hybrid work (768 remote, 2819 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
