EngineeringOn-site

Software Engineer, AI Platform

Fab2 · On-site

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Last seen by MeritLog September 10, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Fab2's Ashby job board and last checked it on September 10, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $140K - $200K
Location: San Francisco Office
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Fab2

Fab2 has 59 live roles in MeritLog’s catalog across 5 job families, and 55 of them are in engineering. 31 of those listings publish a pay range, a disclosure rate of 53%.

This role's posted range of $140K - $200K sits above 93% of the 30 other Fab2 roles quoted over the same currency and period.

Fab2 concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.
Strong product instincts and an ability to turn ambiguous problems into working systems.
Strong technical communication and a high degree of ownership.

What they're asking for

Founding engineer, CTO, or early-stage startup background.SkillPreferred
Experience building AI agents, developer tools, evals, or ML infrastructure.SkillPreferred
Hands-on work with GPU or on-prem compute infrastructure.SkillPreferred
Exposure to robotics, hardware, scientific computing, or automated experimentation.SkillPreferred
Experience building software for regulated environments.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 https://www.youtube.com/@SamZeloof and Jim Keller https://en.wikipedia.org/wiki/Jim_Keller_(engineer). 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

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