📋 Description
- Develop end-to-end driving models with performance, robustness, and generalization.
- Lead projects on personalized and collaborative driving, including behavior conditioning and
- Build evaluation pipelines and metrics for closed/open-loop driving and product readiness.
- Curate real-world and synthetic data to drive scenario diversity.
- Influence architecture choices, training methodologies, and deployment pathways.
- Collaborate across teams to ensure integration and iteration velocity.
🎯 Requirements
- Essential
- Shipping deep learning systems to production.
- Expert in deep learning (sequential models, control, planning, or perception).
- Proficient in Python, C++, CUDA and ML frameworks (PyTorch).
Solid software engineering foundation.
- Experience with real-time systems or robotics, ideally with sim or vehicle-in-the-loop components.
- Ability to lead technical initiatives across teams and mentor engineers.
Desirable
- Autonomous driving, imitation learning, or trajectory prediction.
- Familiarity with personalization or driver intent inference.
- Experience integrating ML systems into production hardware or multi-agent simulation.
This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
Remotely
