AI Safety Principal Engineer

Employment Type: Full-time Remote: Yes (within the United States)

Position Overview

The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department, part of the Global Product Safety, System, and Certification (GPSSC) organization, is seeking a technical leader with extensive experience in the full end-to-end development lifecycle for Artificial Intelligence & Machine Learning (AI/ML). This role is crucial for establishing a comprehensive safety case for automated driving systems (ADS) and driving GM's vision of zero crashes, zero emissions, and zero congestion.

As the AI Safety Principal Engineer, you will be responsible for guiding the development of GM’s AI safety strategy, staying current on industry best practices and standards. This role requires strong programming and statistical techniques to solve complex problems, provide safety guidance to AI/ML development teams, and assess their work products.

Responsibilities

• Develop AI/ML Safety Strategy: Reference ISO 8800, ISO 24118, and AV industry best practices to develop the strategy for ensuring safe AI/ML and autonomous system development, deployment, and maintenance.
• Collaborate with Engineering Teams: Work with software, data science, and systems engineering teams to ensure GM safely trains new machine learning models to solve complex business problems.
• Ensure Model Continuity: Ensure continuity of safety as existing machine learning models are enhanced to increase performance and adapt to business changes.
• Set AI Solution Standards: Establish the safety standard for prototyping, testing, and deploying new AI solutions, including Generative AI, to solve business problems.
• Data Set Assurance: Set the strategy for testing and validation of data sets and develop an assurance plan.
• Operational Design Domain (ODD) Strategy: Set the strategy for systematically breaking down ODD components and driving behavior components, and how these are validated in aggregate and on a per-behavior level.
• Safety Launch Targets: Work with data science, systems engineering, and software teams to set the strategy for establishing safety launch targets across vehicle behaviors and in aggregate.
• Assurance Process: Set up an assurance process to validate that launch targets have been achieved.
• Partner & Customer Collaboration: Work with partners and customers to define safety strategies and targets for AI/ML-based autonomous driving systems, understand their challenges and needs, and collaborate on new machine learning solutions.
• Model Assessment: Assess the safety of existing production models and ML Ops in a cloud environment.
• Generative AI Collaboration: Collaborate on proof-of-concepts for new generative AI solutions.
• Provide Safety Expertise: Offer safety expertise and guidance to a team of AI/ML developers.
• Apply Standards: Apply experience with ISO 8800 and ISO 24118 to ensure the development, deployment, and maintenance of safe AI/ML systems in simulation, on closed courses, and on public roads.

Requirements

• Technical Leadership: Proven technical leadership experience.
• AI/ML Lifecycle Expertise: Extensive experience in the full end-to-end development lifecycle for AI/ML.
• Programming & Statistics: Extensive programming and statistical techniques for complex problem-solving.
• Industry Best Practices: Stay current on industry best practices and standards.
• ISO Standards: Experience with ISO 8800 and ISO 24118.
• Passion for Safety: Passion for safety and driving innovation through AI/ML.

Company Vehicle Program

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. Program participants are required to purchase/lease a qualifying GM vehicle every four years, unless a limited exception applies.

Application Instructions

• This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.