Staff AI/ML Engineer, Developer Productivity
Core
Building and maintaining AI-native developer tools and services to enable consistent, secure agentic workflows and observability for AV engineering teams.
Role type
Staff AI/ML Engineer (Developer Productivity)
Builds
AI-native tools, services, and libraries for debugging, optimizing, and maintaining production-level reliability in AV development toolchains.
Domain
Automotive (AV) / Cloud Infrastructure / Developer Productivity
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud system design at scale, Go/Python, Unix/Linux/SSH/networking, scalable service architecture, technical roadmap influence, team mentorship, stakeholder management, trade-off analysis.
Preferred skills
LLMs/MCPs for coding workflows, GCP, Docker/Kubernetes, Open-Source contributions.
Technologies
Go, Python, GCP, Docker, Kubernetes, Unix/Linux, SSH.
Responsibilities
Identify engineering pain points and design scalable solutions, influence technical roadmap, evaluate new tools via PoCs, ship improvements to AV toolchains, drive software engineering best practices, mentor engineers, balance impact vs technical debt.
Seniority
Staff, hands-on IC with leadership and mentorship responsibilities.