About fab2
The fab2 team can build anything. We design all the hardware and software needed to make chips and we make the fabs, tools, and components ourselves.
We're looking for exceptional, hands-on people who can iterate to the limits of what's possible.
fab2 was founded by Sam Zeloof youtube.com and Jim Keller en.wikipedia.org. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years.
About the Team
fab2 prints chips. fab2 prints fabs. The Software team builds the software that runs it all.
About the Role
We’re looking for a Software Engineer to build the AI platform behind fab2.
This is a greenfield role with broad ownership across our AI stack. You’ll build the infrastructure and agent systems that turn engineering knowledge and workflows into useful tools for teams across fab2.
Responsibilities
- Build the infrastructure for using AI models across cloud providers and our own on-prem compute.
- Develop agents, shared skills, MCP servers, and sandboxed execution environments.
- Create evals and benchmarks to measure where agents work, where they fail, and how to improve them.
- Turn engineering knowledge and repeatable workflows into shared AI tools teams can build on.
- Develop AI systems for automated experimentation, defect detection, engineering analysis, and fab operations.
- Explore systems that can analyze results, propose what to do next, and eventually interact with physical equipment.
- Help shape how AI gets used across Fab2 and inside the fab.
Required Experience
- Strong software engineering fundamentals and experience shipping production systems.
- Comfortable working across frontend, backend, infrastructure, and data.
- Effective with AI coding tools while still able to read, write, debug, and reason about code independently.
- Strong product instincts and an ability to turn ambiguous problems into working systems.
- Strong technical communication and a high degree of ownership.
Nice-to-have
- Founding engineer, CTO, or early-stage startup background.
- Experience building AI agents, developer tools, evals, or ML infrastructure.
- Hands-on work with GPU or on-prem compute infrastructure.
- Exposure to robotics, hardware, scientific computing, or automated experimentation.
- Experience building software for regulated environments.
Working at fab2
We’re an early-stage hardware startup with solid funding, world-class advisors, and labs/offices in Austin, TX, Lockhart, TX, and San Francisco, CA.
Compensation: fab2 is committed to fair and equitable compensation practices. The annual salary range for this role is $140,000 – $200,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in fab2.
Benefits: fab2 offers the following benefits, subject to applicable eligibility requirements:
- Medical, Dental, and Vision insurance
- Generous Paid Time Off inclusive of Holidays and Sick Time
- Visa Sponsorship
- Life and Disability Insurance
- Paid Parental Leave
- 401(k) retirement plan
- Weekly Learning & Development opportunities
- Commuter Benefits including Parking and Late Night Uber rides from the office
- Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts
We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Export Control Analysis: This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.
fab2, formerly known as Atomic Semi
Requirements
Must-haves
We’re looking for a Software Engineer to build the AI platform behind fab2.
This is a greenfield role with broad ownership across our AI stack. You’ll build the infrastructure and agent systems that turn engineering knowledge and workflows into useful tools for teams across fab2.
Build the infrastructure for using AI models across cloud providers and our own on-prem compute.
Develop agents, shared skills, MCP servers, and sandboxed execution environments.
Create evals and benchmarks to measure where agents work, where they fail, and how to improve them.
Turn engineering knowledge and repeatable workflows into shared AI tools teams can build on.
Develop AI systems for automated experimentation, defect detection, engineering analysis, and fab operations.
Explore systems that can analyze results, propose what to do next, and eventually interact with physical equipment.
Help shape how AI gets used across Fab2 and inside the fab.
Strong software engineering fundamentals and experience shipping production systems.
Comfortable working across frontend, backend, infrastructure, and data.
Effective with AI coding tools while still able to read, write, debug, and reason about code independently.
Nice-to-haves
Founding engineer, CTO, or early-stage startup background.
Experience building AI agents, developer tools, evals, or ML infrastructure.
Hands-on work with GPU or on-prem compute infrastructure.
Exposure to robotics, hardware, scientific computing, or automated experimentation.
Experience building software for regulated environments.
Working at fab2
We’re an early-stage hardware startup with solid funding, world-class advisors, and labs/offices in Austin, TX, Lockhart, TX, and San Francisco, CA.
Benefits: fab2 offers the following benefits, subject to applicable eligibility requirements:
Visa Sponsorship
Life and Disability Insurance
Weekly Learning & Development opportunities
Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts
Application prep
Use the role’s language and application details while tailoring your materials.