General Motors jobs

As an intern on the AV ML Infra team, you will contribute to the development and optimization of our machine learning infrastructure for autonomous vehicles. This role involves improving data processing pipelines, scheduling, accelerating model training and inference workflows, and enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to increase reliability, reduce latency, and speed up iteration cycles for autonomous driving performance.

$115k - $142k

General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to contribute to the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This internship offers the chance to apply machine learning and physical robotics expertise to real-world robotic challenges, supporting the creation of next-generation automation. Interns will work on enabling robotic systems capable of learning and adapting to perform complex tasks in production environments, enhancing flexibility and efficiency.

Salary not listed

General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to contribute to the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role involves applying machine learning and physical robotics expertise to complex, real-world robotic challenges, supporting the creation of next-generation automation and flexible production systems.

Salary not listed

As an Embodied AI Data Scaling Intern, you will contribute to a well-defined project aimed at enhancing the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to develop data pipelines, analyze extensive datasets, refine training workflows, or create infrastructure that boosts the number and quality of experiments the team can conduct. Potential focus areas include data curation and quality, data mining and scenario discovery, dataset and labeling pipelines, distributed training and model scaling, and ML experimentation and flywheel infrastructure.

$142k - $175k

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$104k - $124k

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$139k - $163k

As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/or enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance. This role is part of GM's AV/AI Platform organization, which builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems.

$97k - $142k

The AI Cloud and Developer Productivity organization delivers and maintains the tools and services engineers use daily to enhance the entire development process, from code checkout to deployment. The AV Developer Tools team specifically owns AI-native tools and services that enable consistent and secure agentic workflows with visibility into their usage. The goal is to accelerate AV development by supporting developer workflows for performance and observability, ensuring production-level reliability and availability. This role focuses on building AI-native tools and services to improve developer productivity.

$180k - $284k

As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.

$156k - $187k

General Motors is leveraging AI to streamline work processes, reduce manual effort, and enable engineers and business teams to focus on higher-value outcomes. As a Principal Engineer, AI Acceleration, you will identify impactful opportunities and then design, build, and scale AI-powered tools that significantly improve how people work. This is a hands-on technical leadership role focused on shipping tools that deliver substantial improvements, not just incremental gains. You will collaborate directly with various teams across the company to understand their challenges, moving from discovery and prototyping to production-quality solutions while adhering to standards for security, privacy, reliability, responsible AI, and supportability. The ideal candidate can create clarity from ambiguity, balance strategic thinking with technical implementation, and measure success by tangible outcomes.

Salary not listed

The AI Engineering and Productivity team is seeking a Staff Data Scientist to empower engineering teams with reliable and secure AI-driven tools. This role will streamline workflows, accelerate decision-making, surface insights, and drive productivity gains across the product lifecycle. You will lead AI/ML and data science products, tackling complex problems and translating ambiguous business challenges into scalable, production-grade AI solutions with measurable enterprise impact.

Salary not listed

The AI Engineering and Productivity team empowers engineering and quality teams by delivering reliable and secure AI-driven tools. These tools streamline workflows, accelerate decision-making, surface actionable insights, and unlock 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

The Embodied AI Research team is looking for an intern to conduct applied research at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings. Potential focus areas include foundation models for autonomy, vision-language-action models, generative and world models, learning for planning and control, and multimodal and temporal learning.

Salary not listed

The Embodied AI Research team is looking for a PhD intern to conduct applied research at the intersection of machine learning, robotics, and autonomous driving. You will work with experienced researchers and engineers to develop hypotheses, design experiments, train and evaluate models, analyze results, and communicate findings. Potential focus areas include foundation models for autonomy, vision-language-action models, generative and world models, learning for planning and control, and multimodal and temporal learning. This role involves formulating research problems, designing and running experiments, training and benchmarking models, analyzing model behavior, and collaborating with various engineering teams.

Salary not listed

GM R&D is seeking an outstanding early-career intern to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. This role is designed for a Ph.D. student who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The intern will conduct original research, develop proof-of-concepts, evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas, emphasizing research depth, originality, experimental rigor, and growth toward independent technical leadership.

Salary not listed

GM R&D is seeking an outstanding early-career researcher to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. This role is designed for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The researcher will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas, connecting theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.

$128k - $279k

The Foundational AI Research team in Israel is shaping next-generation autonomous driving (L3 and beyond) by advancing the state of the art in AI for autonomous vehicles. As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios. Your work will influence millions of drivers worldwide and define what’s next in autonomous driving.

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The AV / AI Capacity & Performance Engineering team provides essential compute, networking, storage, and AI infrastructure to support AI and ML innovation across various use cases. The team focuses on building capacity models, enhancing cloud efficiency, supporting vendor planning, and developing tools to provide visibility into capacity, demand, utilization, reliability, and cost for engineering stakeholders. Our Capacity Intelligence system serves as the central operational interface for capacity intake, cloud spending, budget pacing, quota and queue analysis, egress forecasting, and related capacity insights, with ongoing expansion to include new cloud providers and advanced modeling capabilities. As an intern, you will contribute to the development and optimization of this system, focusing on integrating new functionalities and developing scalable infrastructure, tools, and insights to support model training, simulation, CI build, and data generation.

$115k - $142k

GM is seeking a Senior Performance Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. This role is critical in supporting the development of autonomous vehicles by providing input into large-scale ML infrastructure strategy, advising on cloud budget decisions, identifying and executing optimization projects, and offering capacity planning and engineering expertise. The team's mission is to ensure efficient and scalable ML infrastructure for GM's autonomous vehicle research and development.

$145k - $261k

General Motors (GM) is driving the future of mobility with advanced self-driving and electric vehicle technologies. The AV ML Infra team builds ML infrastructure to support AI and ML innovation across various teams, enabling scalable ML experimentation and enhancing ML engineer productivity. This Principal AI/ML Engineer role will lead the AV ML Infra team, shaping long-term vision and execution strategies for GM's AI and ML efforts. The focus is on developing infrastructure products that empower teams to perform machine learning and data science at scale, rather than applying ML models for specific tasks.

$276k - $341k