Your Skills & Abilities (Required Qualifications)
- 8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field.
- Strong programming and data skills in Python and PyTorch
- Demonstrated experience fine-tuning and deploying to production vision-based and/or time series-based ML/AI pipelines.
- 2+ years of people management or tech lead experience leading engineering teams.
Qualifications)
- Experience with autonomous driving, robotics, or other safety-critical domains, especially in perception, prediction, planning, validation, safety, or systems engineering roles.
- Experience designing and training foundation models.
- Demonstrated background with simulation-based validation for autonomy systems.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
- The salary range for this role is ($218,800 - $335,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.




This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

The selected candidate will be required to travel <25% for this role.

Relocation benefits are available for candidates who qualify under company policy.

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