Responsibilities
- Design and implement unified APIs and SDKs enabling AI agents to control diverse laboratory instruments (oscilloscopes, network analyzers, SMUs, signal generators, lasers, etc.)
- Build high-concurrency execution engines to orchestrate parallel measurements across multiple wafer chucks, cryostats, or test stations
- Architect scalable data ingestion pipelines and storage systems capable of handling high-frequency data streams and making them immediately queryable for AI models
- Implement guardrail logic and runtime validation layers to prevent unsafe hardware operations and verify AI-generated commands
- Develop fault-tolerant and observable systems with structured logging, monitoring, failure handling, and safe degradation mechanisms
- Integrate measurement outputs with modeling and analysis frameworks to enable closed-loop semiconductor and photonic development
Requirements
- B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or related field
- 4+ years of experience building production-grade software systems
- Strong Python engineering experience (packaging with Poetry/UV, type hinting, decorators, context managers, modular architecture)
- Experience automating laboratory or industrial hardware via VISA, SCPI, TCP/IP, gRPC, or similar protocols
- Experience designing and maintaining SDKs, APIs, or control frameworks
- Experience with structured scientific data formats (e.g., HDF5) and/or time-series databases
- Experience building concurrent and asynchronous systems
- Demonstrated experience building reliable systems where hardware safety, financial cost, or operational integrity are at stake
Nice to Have
- Experience with Rust or C++ for performance-critical loops
- Familiarity with containerization (Docker) for deploying measurement runtimes
- Hands-on experience in electro-optic measurements of bare dies, wafers, packaged chips, and boards
- Experience with concurrent and asynchronous software systems, software testing and reliability, and production-grade robustness (observability, failure handling, safe degradation)
- High agency: self-starter, no task too large or too small attitude
Benefits
- Competitive compensation
- Stock Options Plan: Empowering you to share in our success and growth.
- Cutting-Edge Tools: Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
- Work-Life Balance: Flexible work arrangements in one of our offices, and sponsored visit to other Axiomatic Offices around the world.
- Professional Growth: Opportunities to attend industry conferences, present research findings, and engage with the global AI research community.
- Impact-Driven Culture: Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.
Work Arrangement
Hybrid — one of our offices
