Description Role: In this role, you will be at the forefront of developing and deploying large-scale Foundation Models (FMs) that enhance our automotive technologies at General Motors focused on Autonomous Driving & Robotics. You will work closely with a dynamic team of AI and ML researchers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. Your contributions will directly impact our ability to deliver cutting-edge solutions that meet the needs of our customers.

What You'll Do:

• Design and implement large-scale Foundation Models for various applications, leveraging recent advancements in AI and robotics.

  • Collaborate with cross-functional teams to integrate & built distillation recipes of Robotics foundation models for onboard driving models.

  • Analyze and optimize model performance, ensuring efficient training and deployment.

  • Conduct research and stay updated on the latest advancements in AI frameworks and libraries.

  • Lead projects from ideation to deployment, documenting learnings and best practices along the way.

  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.

Your Skills & Abilities:

• Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.

  • Proven experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models.

  • Proficiency in frameworks such as Py Torch and Tensor Flow, with experience in libraries like Hugging Face and OpenAI GPT.

  • Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.

  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.

  • Experience deploying foundation models into production environments and understanding the end-to-end process.

  • Previous experience in Robotics or Autonomous Driving.

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 New York, Colorado, California, or Washington.

• The salary range for this role is $180,000 to $280,000. 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.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum.

Relocation: This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us:

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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