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AI Platform Software Engineer - Greenfield AI Infrastructure & Agent Systems
Summary by AIEngineer.careers
AI Platform Software Engineer - Greenfield AI Infrastructure & Agent Systems is a AI Platform Engineer role (full-time). with fab2. in AUSTIN, US. Compensation shown: $140K–$200K. Imported listing (source: jaabz.com). Apply on the employer's site (jaabz.com).
Imported listing (source: jaabz.com) · Apply on jaabz.com
AUSTIN · US
$140K–$200K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jaabz.com
Join fab2 as an AI Platform Software Engineer to architect and build greenfield AI infrastructure and agent systems. You will develop scalable software solutions that power next-generation chip design and semiconductor manufacturing processes. This role offers the opportunity to shape foundational AI tooling from the ground up within a fast-paced, hands-on environment.
Responsibilities
- Architect and develop AI platform infrastructure and autonomous agent systems.
- Build software tools and pipelines to support chip design, fabrication, and hardware integration.
- Optimize AI workloads and ensure scalability across proprietary manufacturing ecosystems.
Requirements
- Proficiency in system programming languages (Python, C++) and software architecture.
- Experience designing and deploying scalable distributed systems and AI platforms.
- Strong problem-solving skills with a track record of building greenfield projects.
Nice to Have
- Background in semiconductor manufacturing, VLSI, or hardware engineering.
- Familiarity with LLMs, reinforcement learning, or multi-agent systems.
fab2
Austin · US · 105+ employees
Fab2 (formerly Atomic Semi) is a vertically integrated semiconductor startup that designs and builds its own fabs, chipmaking tools, components, and EDA design software. The company focuses on software-defined, smaller-scale fabs to enable faster chip prototyping and production.
