Principal AV Behavior Safety Engineering Lead

General Motors; Deutschland; Remote; EUR 216.000 - 332.000; Vollzeit

Benefits dieser Stelle

Health and wellbeing benefits

GM vehicle discounts

Zusammenfassung

General Motors is seeking a Principal AV Behavior Safety Engineering Lead to drive safety strategy for SAE Level 3–4 automated driving systems. You will lead end‑to‑end development, define ODD breakdowns, and validate AV behaviors across simulation, closed‑course, and real‑world data.

The role emphasizes AI/ML, safety metrics, and cross‑functional collaboration with software, systems, and validation teams. The ideal candidate has 8+ years in AV/robotics, demonstrated safety leadership, and a

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, Math or related field.
• 8+ years in machine learning, engineering, data science, or related field.
• 8+ years in autonomous vehicle or robotics development or related field.
• Demonstrated experience on production‑intent AV programs.
• Proven safety leadership in AV development (safety strategies, risk assessments, validation).
• Deep understanding of AV behavior development: ODDs, behaviors, evaluation criteria.

Aufgaben

• Define safety strategy for ADS architectures, validation, and deployment.
• Own the behavior‑focused portion of the ADS Safety Case with key claims and evidence.
• Collaborate with Validation, AI/ML, Simulation, and Safety Metrics teams to define end‑to‑end AV behavior validation.
• Set the strategy for breaking down ODDs and validating performance per behavior and in aggregate.
• Develop safety performance indicators (SPIs) for AV behaviors and system performance.

Kenntnisse

Safety leadership

AV behavior development

Cross-functional collaboration

Communication skills

Machine learning

Validation methodologies

Ambiguity tolerance

Ausbildung

Bachelor's degree in CS/Engineering/Math

Masters degree preferred

Tools

Python

PyTorch

TensorFlow

Scikit-learn

LangChain

SQL

Jobbeschreibung

Job Description

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM’s Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM’s automated-driving technologies.

GM’s vision is zero crashes, zero emissions, and zero congestion—and autonomous vehicle safety is essential to achieving that vision.

As Principal AV Behavior Safety Engineering Lead, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models. You will report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM’s next generation of automated driving products.

If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML‑driven systems, this role is an opportunity to shape how millions of people experience safe automated driving.

The Role

The AV Safety Strategy and Assurance team is seeking a hands‑on Principal engineer with extensive experience in the end‑to‑end development lifecycle of autonomous vehicle behaviors, from ADS Architecture, ODD and behavior definition through simulation, closed‑course, and public‑road validation.

You will:

Lead Technically

• Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
• Own safety strategy for next generation ADS architectures
• Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance.
• Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems.
• Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate.
• Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance. This includes supporting development of safety performance indicators (SPIs) for AV behaviors.
• Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams.
• Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness.

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 8+ years of experience in machine learning, engineering, data science, or a related field
• 8+ years in autonomous vehicle or robotics development or related field
• Demonstrated experience working on production‑intent AV programs
• Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions).
• Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed‑course, and public‑road test data; and generating prioritized, actionable recommendations for developers.
• Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
• Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders.
• Proven ability to influence cross‑functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority.
• Strong problem‑solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement.

What Will Give You Competitive Edge (Preferred qualifications)

• Masters Degree in Computer Science, Engineering, Mathematics or related field

Programming & Frameworks

• Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

Machine Learning & AI

• Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

Cloud & Big Data Platforms (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)); Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform))

• Microsoft Azure (Data Lake, Machine Learning, Databricks)
• AWS (S3, SageMaker, Bedrock)
• Google Cloud Platform (BigQuery, Dataflow, AI Platform)

Deployment & MLOps

• MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

Data Analysis & Visualization

• Tableau, PowerBI, Pandas, NumPy

Why This Role Is Unique

• Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers.
• End‑to‑End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety.
• Cross‑Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM’s automated driving roadmap.

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 actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $250,600 and $384,600. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though 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 role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role.

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.

Benefits Overview

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