Requirements

Full-stack engineering – Strong experience designing, building, and operating production web applications across frontend and backend systems. Experience with modern technologies such as React, TypeScript, Python, Flask, or FastAPI—or comparable frameworks and languages.
Production system design – A strong understanding of system design, API design, data modeling, asynchronous workflows, automated testing, and distributed-system fundamentals. Experience building services that are scalable, secure, reliable, observable, and performant.
End-to-end ownership – A track record of taking significant features or services from problem definition and technical design through implementation, deployment, and production operation.
Technical leadership and mentorship – Experience leading technical discussions, influencing engineering decisions, establishing effective design patterns, and supporting other engineers through design reviews, code reviews, pairing, and practical guidance.
Collaborative problem-solving – The ability to work effectively with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly.

Nice to Haves

Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers.
ML Operations and Experimentation – Familiarity with model training, evaluation, experiment tracking, artifact management, or related model-development workflows.
Data and Workflow Systems – Experience with data pipelines, distributed job orchestration, event-driven architectures, or large-scale compute platforms.
Platform Observability – Experience defining service-level indicators and objectives and using metrics, logs, traces, and alerting to improve production reliability.
Security and Data Governance – Knowledge of privacy, compliance, access control, auditability, and secure handling of sensitive or large-scale data.
Domain Experience – Previous experience with autonomous systems, robotics, simulation, or another safety-critical domain.

Designing and delivering applications that make complex model development workflows easier to manage
Building scalable, secure, reliable, and performant services
Leading system design and technical direction
Leading through hands-on contribution and mentorship
Collaborating cross-functionally with various teams

Inclusive work environment fostering diversity and new perspectives
Opportunity to contribute to the development of safe and intelligent autonomous driving technology