Measurement Software Engineer

TL;DR

Measurement Software Engineer (AI Lab Automation): Design and implement the software backbone of autonomous lab platform translating high-level AI decisions into precise hardware commands with an accent on high-concurrency execution engines, scalable data pipelines, and safety guardrails. Focus on architecting fault-tolerant systems, integrating diverse lab instruments, and enabling closed-loop semiconductor and photonic development.

Location: Toronto, Canada (flexible work arrangements in one of our offices)

Company

Building a new class of AI systems combining deep learning, formal logic, and physics-based modeling to accelerate semiconductor and photonic hardware development by 30x by 2030.

What you will do

• Design unified APIs and SDKs for AI agents to control laboratory instruments like oscilloscopes, analyzers, and lasers
• Build high-concurrency engines to orchestrate parallel measurements across multiple test stations
• Architect data ingestion pipelines and storage for high-frequency streams queryable by AI models
• Implement guardrails, runtime validation, and fault-tolerant systems with logging and monitoring
• Integrate measurement outputs with modeling frameworks for closed-loop hardware development

Requirements

• B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or related
• 4+ years building production-grade software systems
• Strong Python (packaging, type hinting, modular architecture)
• Experience automating lab/industrial hardware via VISA, SCPI, TCP/IP, gRPC
• Designing/maintaining SDKs, APIs, control frameworks
• Structured data formats (HDF5), time-series DBs, concurrent/async systems
• Reliable systems where hardware safety or integrity is critical

Nice to have

• Rust or C++ for performance-critical code
• Docker for deploying measurement runtimes
• Hands-on electro-optic measurements of dies, wafers, chips
• Software testing, reliability, observability
• High agency and self-starter mindset

Culture & Benefits

• Competitive compensation and stock options
• Access to cutting-edge tools and collaboration with AI, physics, hardware experts
• Flexible work in offices with sponsored visits to other global offices
• Professional growth via conferences and research presentations
• Impact-driven culture solving AI-hardware challenges