Responsibilities
- Design and implement training and evaluation systems that handle large-scale AI research, managing extensive GPU clusters processing petabytes of multimodal sensor inputs
- Create reliable benchmarking frameworks, continuous evaluation pipelines, and regression monitoring tools to assess model performance across varied and rare real-world driving scenarios
- Develop high-capacity data sampling techniques, dataset creation workflows, and intelligent data curation systems using advanced AI models to enhance a self-improving data loop
- Enable efficient, large-scale distributed training across diverse cloud platforms with emphasis on stability, performance optimization, and cost-effective resource scaling
- Work closely with research, autonomy, and platform engineering teams to transition innovative AI concepts into deployable, production-grade systems
Work Arrangement
On-site — Sunnyvale, California, Washington, D.C., San Diego, Ft. Walton Beach, Florida, Ann Arbor, Michigan, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, Tokyo
Other
- Employees are expected to work from the company office five days per week
- Occasional remote work is allowed, such as joining morning meetings from home before commuting or leaving early for personal reasons
- Comprehensive health, dental, vision, life, and disability insurance benefits
- 401k retirement plan with employer matching contributions
- Stipends available for learning and wellness expenses
- Paid time off is provided
- Equity compensation in the form of stock options and/or restricted stock units
