Responsibilities
- Advance cutting-edge research in generative AI, particularly diffusion policy, to improve end-to-end perception, planning, and prediction in autonomous driving, with an emphasis on vision-based sensing.
- Design and develop scalable, end-to-end models that transform raw sensor inputs into vehicle trajectory outputs, tackling rare and complex driving situations where training data is limited.
- Build, test, and refine deep learning architectures using imitation learning and extensive datasets to ensure reliable performance across varied driving environments.
- Evaluate models in both simulated sensor environments and real-world conditions using closed-loop testing to assess robustness, consistency, and scalability.
- Investigate multi-modal and language-guided models to expand the scope of end-to-end driving policies, leveraging external datasets and transfer learning for improved generalization.
- Partner with research and engineering teams across the organization and global affiliates to speed up deployment and validation of models in controlled test tracks and public road settings.
- Lead the publication of findings in top-tier, peer-reviewed research forums.
Compensation
Annual salary range of $200,000 to $287,500 for positions based in California, with final offers influenced by experience, skills, domain expertise, and location.
Work Arrangement
On-site
Other
- Applicants must provide a Google Scholar profile link and a complete publication list with their CV.
- Starting compensation is projected between $200,000 and $287,500 per year for California roles.
- Final base pay will reflect individual factors such as experience, technical abilities, knowledge relevant to the role, and geographic market conditions.
- Comprehensive benefits include medical, dental, and vision coverage, 401(k) plan access, paid leave (vacation, sick days, parental leave), and eligibility for annual cash bonuses.
- Employment decisions are made without discrimination based on race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, disability, medical status, religion, marital status, genetic information, veteran status, or other protected categories under applicable laws.
- In accordance with the San Francisco Fair Chance Ordinance, individuals with arrest or conviction records will be considered for employment if qualified.
Not specified
