Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead (GPSSC)

General Motors (GM)

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$250,600–$250,600 / yr
Posted
77 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $251k
$182k most similar roles pay here $271k

This role pays more than 72% of similar roles. Most pay $196,750–$256,000 — the shaded band above. At the midpoint, this role pays about $251k versus about $226k 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 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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At a glance

TL;DR · Principal AI Safety Engineer for Autonomous Vehicles: Technical Lead (GPSSC)

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As a Principal AI Safety Engineer for Autonomous Vehicles at General Motors, you will join the SAFE-ADS department within GPSSC to lead the development of AI safety strategies and engineering guidance for GM’s automated driving systems. Your day-to-day responsibilities include collaborating with cross-functional teams to define safety criteria, engaging stakeholders to understand their needs, and providing technical expertise to inform leadership decisions. You will also champion industry standards such as ISO/PAS 8800 and contribute to thought leadership in the autonomous vehicle ecosystem. The role requires extensive experience in AI/ML development, including deep learning, reinforcement learning, and NLP, along with proficiency in Python, PyTorch, TensorFlow, and cloud platforms like Azure Data Lake and Machine Learning. Your work will ensure the safe deployment of GM’s AI-enabled ADS technologies on a large scale.

Skills

Python R Java PySpark PyTorch TensorFlow Scikit-learn LangChain SQL Microsoft Azure Data Lake Machine Learning Databricks AWS S3 SageMaker Google Cloud Platform BigQuery AI Platform MLflow Model Monitoring & Versioning Docker Kubernetes GitHub Jira Tableau PowerBI Pandas NumPy ISO/PAS 8800 NIST AI Risk Management Framework EU AI Act

What you'll do

  • Lead development of AI safety strategies for autonomous driving systems.
  • Establish and maintain safety engineering guidance and sufficiency criteria.
  • Engage with stakeholders to understand challenges and provide technical solutions.
  • Evaluate AI-related safety case evidence and verify sufficiency criteria are met.
  • Provide AI expertise and safety guidance across Global Product Safety activities.

What we're looking for

  • 10+ years of experience in AI/ML and engineering.
  • Deep expertise in machine learning and AI, including large-scale model development and end-to-end validation.
  • Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act, and other relevant industry standards.
  • Experience with cloud platforms (Azure preferred) for big data and ML operations.
  • Proven track record in providing technical safety leadership in AI/ML development and deployment.
  • Strong programming skills in Python, R, Java, PySpark, TensorFlow, and related frameworks.
  • Excellent communication and collaboration skills for working effectively in a team environment.

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