Software Engineer, AI Platform

Fab2

$140K — $200K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software engineering fundamentals with experience in production systems.
  • Proficient across frontend, backend, infrastructure, and data.
  • Skilled in using AI coding tools; capable of independently reading, writing, debugging code.
  • Strong product instincts with the ability to solve ambiguous problems.
  • Excellent technical communication and a proactive ownership mindset.

Responsibilities

  • Build AI infrastructure capable of deploying across both cloud and on-prem environments.
  • Develop agents and systems for improved software functionality and operation.
  • Create evaluative benchmarks to assess agent performance and improvement areas.
  • Transform engineering knowledge into practical AI tools for team utilization.
  • Design AI systems for automated experiments, defect detection, and engineering analysis.
  • Investigate systems that autonomously analyze results and suggest actions.
  • Influence the implementation of AI practices throughout Fab2.

Benefits

  • 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
  • Daily lunches, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts
Full Job Description
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 a lab/office in Austin, 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

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