Senior Manager, Embodied AI

General Motors (GM)

Confirmed live yesterday High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Sunnyvale, CA
Salary
$296,300–$453,900 / yr
Posted
142 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $375k
$148k most similar roles pay here $487k

This role pays more than 99% of similar roles. Most pay $181,025–$254,750 — the shaded band above. At the midpoint, this role pays about $375k versus about $218k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 roles with salary data.

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At a glance

TL;DR · Senior Manager, Embodied AI

As Senior Manager, Embodied AI, you will join the Data Foundations organization to lead a team of AI/ML engineers focused on building and scaling the data flywheel for autonomous vehicle foundation model development. You will manage day-to-day people operations, provide technical guidance, and define the project roadmap to improve model performance through diverse data sources including real driving and synthetic simulation. Your role involves ensuring data quality across the loop and developing scalable systems to increase data volume and impact. The position requires expertise in Python, with preferred experience in Numpy, Pandas, Apache Spark, and large model training pipelines. You will solve complex data scaling challenges regarding diversity and quality while collaborating cross-functionally to ensure safety and reliability for L2, L3, and L4 applications within the autonomous vehicle domain.

What you'll do

  • Manage and mentor a team of AI/ML engineers to build and scale the Data Flywheel.
  • Define the technical vision for Data Foundations and establish engineering best practices.
  • Develop project roadmaps and set development priorities aligned with company goals and product milestones.
  • Build scalable systems and pipelines to increase data volume, diversity, and impact on foundation models.
  • Oversee the definition of data quality processes across the entire data loop.
  • Solve complex data scaling challenges involving multiple sources for large-scale model training.
  • Collaborate cross-functionally with teams involved in autonomous vehicle model development and validation.
  • Ensure the delivery of high-quality, scalable software solutions to production environments.

What we're looking for

  • BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field.
  • Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence.
  • Track record of delivering scalable software solutions to production environments using Python.
  • Experience solving data scaling challenges including diversity, quality, and multi-source integration for large models.
  • Strong leadership skills in mentoring, coaching, and fostering a collaborative team culture.
  • Excellent communication and organizational skills to define roadmaps and align with company objectives.
  • Preferred experience in the Robotics or AV/ADAS industry.
  • Experience building training pipelines for large models and using tools like Numpy, Pandas, and Apache Spark.

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