Quick overview
Job description
About the Role
Join an early-stage AI company building automation for hardware engineering in complex manufacturing environments. As a founding technical team member, you will shape core product systems and work closely with customers to bring reliable AI workflows into production.
What You'll Do
Design and build core workflows and infrastructure for AI agents supporting hardware engineering, including context management, indexing, and post-training systems.
Develop AI agents and machine learning models that interpret and work with complex engineering design data in enterprise toolchains.
Partner with customers and engineers to deliver reliable, intuitive workflows for production use.
Prototype ideas, validate them with users, and ship improvements from concept through deployment.
Help shape early engineering practices, system architecture, and the product roadmap.
What We're Looking For
Two to six years of experience in applied machine learning, backend engineering, or AI infrastructure, or exceptional new graduates with strong fundamentals.
Strong familiarity with LLM architectures and current agent research.
Experience building production machine learning or AI systems, including search and information retrieval.
Strong Python skills and hands-on experience with PyTorch, Hugging Face, and Weights & Biases.
A bachelor's degree or higher in computer science, machine learning, or an equivalent background.
Experience with geometric data or CAD systems is a plus.
A practical builder mindset and care for customer experience.
Compensation & Benefits
Base salary: $180,000 to $250,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California.