General Motors jobs

As a Simulation AI/ML Engineer intern, you will partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack. The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the development of autonomous vehicles as well as general vehicle software development.

$97k - $115k

The Evaluation Foundations team is seeking a Senior Engineer to develop and improve high-performance tools for evaluating autonomous vehicle models. This role involves working across the technology stack to design, implement, and iterate on evaluation and introspection tools. You will contribute to a system that measures and visualizes AV model performance, helping to shorten the experimental path towards optimal models and enabling teams to understand model behavior more effectively. The work directly influences the safety, reliability, and scalability of next-generation autonomous systems.

$145k - $261k

Our Mapping organization is building next-generation mapping systems that move beyond static HD maps toward automated, algorithmic, and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance. In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives from large-scale multi-modal sensor data, owning the geometric and topological correctness of the map itself. This is a hands-on individual contributor role with strong ownership, where you will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.

$171k - $261k

We are seeking a Senior Software Engineer with a Full Stack Web Development background, focusing on Google Cloud Platform (GCP) and Vertex AI Search. This role is part of the Brands & Marketing Software Engineering Team, responsible for building innovative customer experiences, including AI-powered discovery and search. The mission is to leverage GCP and Vertex AI to deliver intelligent, personalized digital experiences at scale. The successful candidate will lead engineering efforts in planning, design, architecture, and execution, with a strong emphasis on building modern web applications that integrate with GCP-native services and designing AI-powered search experiences.

Salary not listed

Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership.

$160k - $246k

You will join a core team focused on enabling safe, reliable, and scalable releases of Autonomous Vehicle (AV) software through intelligent automation and AI-enabled engineering workflows. The goal is to accelerate AV software development and release velocity by minimizing manual effort, enhancing test and release visibility, and applying AI to engineering processes. You will collaborate with various engineering and AI/ML teams to design and implement automated release validation pipelines, integrate simulation and hardware-in-loop testing, build engineering metrics, and develop AI solutions for tasks like test analysis, failure classification, defect triage, and workflow orchestration. This role involves establishing practical standards for evaluating, governing, and scaling automation and AI solutions to improve release readiness, software quality, and engineering productivity.

$153k - $234k

The AI Quality and Productivity team is responsible for empowering Quality and Warranty teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle. As a Senior Software Engineer, you will develop data-intensive and AI-enabled software applications supporting Product Development engineering teams, working with complex data requirements and delivering solutions using industry-standard practices across SQL, Databricks, and modern programming languages like Java and Python. You will design and build software and data solutions with a strong focus on data quality, performance, and reliability, while also advising, coaching, and mentoring other engineers and shaping how teams access and use data and AI.

Salary not listed

General Motors is seeking a Staff Individual Contributor to design and build the next generation of customer-facing AI systems. This role involves leading the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement. The successful candidate will establish durable technical patterns across cloud services and customer experiences, contributing production code in Python, Go, and/or Java. This is a senior technical leadership position focused on influencing architecture, mentoring, raising engineering standards, and driving execution through design and implementation.

$189k - $333k