General Motors jobs

As a 2027 Summer Intern on the Vehicle Aerodynamics and Machine Learning team, you will work at the intersection of physics-based vehicle simulation, computational fluid dynamics, scientific machine learning, and aerodynamic design optimization. You will support research that uses CFD and AI/ML to improve vehicle aerodynamic performance, accelerate design exploration, and enable more efficient development of next-generation vehicles. The work may include analyzing vehicle flow fields, developing data-driven aerodynamic models, evaluating design concepts, and translating research results into practical engineering tools. This role is intended for an inquisitive, technically motivated student who enjoys applying engineering fundamentals and modern computational methods to complex problems. You will work with experienced researchers and cross-functional engineering partners while developing your skills in vehicle aerodynamics, simulation, machine learning, data analysis, and technical communication.

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This internship focuses on supporting AI and hardware process efficiency initiatives through data analysis, process optimization, automation, and analytical tool development. The role involves analyzing production, quality, equipment, test, and operational data to identify trends and improvement opportunities. You will apply statistical analysis, machine learning, and anomaly detection techniques to support predictive insights and process optimization, and develop data pipelines, analytical models, and automated workflows. Additionally, you will evaluate process performance, support root-cause investigations, and measure the impact of process changes. The role also includes creating dashboards, reports, and visualizations to support technical and operational decisions, documenting methods, and presenting results to stakeholders.

$97k - $104k

The AI Kernels & Compilers team at GM is at the forefront of developing advanced automated driving technologies, aiming for a future with Zero Crashes, Zero Emissions, and Zero Congestion. This role focuses on transforming cutting-edge AI research into production-grade software that runs efficiently and reliably on real vehicles. The team builds high-performance GPU kernels and custom libraries essential for on-vehicle ML inference in ADAS and autonomous driving systems, ensuring core AI workloads are faster, more reliable, and easier to deploy under real-world constraints.

$170k - $258k

The Production Mapping organization at General Motors is responsible for developing mapping solutions to support Autonomous Vehicle (AV) and Advanced Driver-Assistance Systems (ADAS) features, including Super Cruise. In this role, you will contribute to solving complex mapping challenges using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will be involved in the entire development lifecycle, from exploring vehicle data and developing models to building scalable data workflows, deploying solutions, and evaluating their performance. Areas of focus include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.

$148k - $148k

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments. Potential focus areas include sensor encoders and fusion, structured perception, ML planning and trajectory generation, local planning and controls, and guardrails and integration.

$142k - $142k

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments. Potential focus areas include sensor fusion, structured perception, ML planning and trajectory generation, local planning and controls, and guardrails and integration.

Salary not listed

As an Applied ML/AI Manager - Behavior Validation, you will lead a team focused on building and operating behavior critics and human benchmarking capabilities for ML-driven autonomy systems. Your team will translate subjective human expectations about safe, comfortable, and intuitive driving into rigorous, scalable evaluation frameworks that directly inform model development and release decisions. You will partner closely with autonomy, simulation, safety, and product teams to define how behavior is judged against human drivers and integrate behavior critic signals into validation pipelines, continuous release, and long-term performance monitoring.

$219k - $335k

General Motors is seeking a researcher to develop and apply artificial intelligence and machine learning solutions for advanced manufacturing systems. This role will focus on applying AI/ML to real-world manufacturing challenges involving process improvement, quality, automation, production efficiency, and decision support. The researcher will work with multidisciplinary teams to develop new concepts, build prototypes, evaluate results, and help transition successful solutions into manufacturing applications.

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We are seeking a mathematically rigorous engineer to own model numerics, focusing on how we measure, bound, and reason about the numerical behavior of models and how this analysis informs deployment decisions. The core challenge involves determining if numerical differences between model versions are safe, connecting low-level concepts like floating-point drift to high-level outcomes like vehicle trajectory error. You will build the tooling to quantify these connections and define the thresholds for ship/no-ship decisions. This role requires more than just running existing validation; it demands the ability to investigate and explain the root causes of numerical divergence.

$171k - $261k

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models. We operate at the intersection of software engineering, data engineering, and AI/ML, defining strategies, tooling, and quality controls for reliable training data at scale. This role offers end-to-end ownership of meaningful platform components, growth toward technical leadership, and direct impact on systems enabling the next generation of autonomous vehicle capabilities.

$175k - $261k

The Smart Agents group is responsible for building ML models and systems to simulate road users in various situations, generating scenarios for testing and training AV driving policies. This involves developing ML/AI models that control other characters in a simulation environment to interact realistically with autonomous vehicles. The technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The team collaborates closely with Simulation, Behaviors, Perception, and Safety Engineers. Specific duties include ML/RL model development, training loop development, optimization, integration, creating ML infrastructure, metrics, and data pipelines for production deployment and rapid experimentation.

$145k - $284k

As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include state estimation and sensor fusion, sensor alignment and calibration, localization, next-generation mapping, and fallback and secondary capabilities.

$175k - $175k

As an Embodied AI Data Scaling Intern, you will work on a well-scoped project that improves the scale, quality, efficiency, or reliability of data and model development for autonomous driving. You will collaborate with researchers and engineers to build data pipelines, analyze large datasets, improve training workflows, or develop infrastructure that increases the number and quality of experiments the team can run. The Data Scaling team builds the data, machine learning, and infrastructure foundations that enable Embodied AI models to improve with scale, supporting large-scale autonomous driving models and the broader Embodied AI flywheel.

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The Production Mapping organization is crucial for developing mapping solutions to support AV/ADAS at General Motors, delivering integrated and tested software for features like Super Cruise. In this role, you will tackle complex mapping challenges using machine learning, advanced algorithms, large-scale data processing, and cloud computing. You will be involved in the entire development lifecycle, from exploring vehicle data and developing models to building scalable data workflows, deploying solutions, and evaluating their performance. Key areas of focus include machine learning, geospatial analytics, distributed data processing, workflow automation, and cloud-based software development.

Salary not listed

As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include state estimation and sensor fusion, sensor alignment and calibration, localization, next-generation mapping, and fallback and secondary capabilities.

Salary not listed

The Automation Integration Engineer is a member of the HR Technology team, responsible for designing, building, and implementing intelligent plugins and automations to enhance enterprise workflows. This role involves executing the HR Automation and AI product roadmap, aligning with HR organization goals, and maximizing value from Agentic AI platforms integrated with systems like ServiceNow and Workday HCM. The ideal candidate possesses deep technical expertise in integrations, automation, and intelligent workflow design, acting as an exceptional developer, communicator, and project driver across business and technology teams to implement scalable solutions.

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We are seeking an intern passionate about developing tooling and productivity to join our AV Developer Productivity Organization. This role focuses on enhancing the tools and services that engineers use daily, including building and leveraging AI/Agentic tools to improve developer productivity. The intern will partner with other engineers, take feedback, and deliver reliable solutions to tasks, contributing to improvements in AV development toolchains and services that directly impact engineering productivity and company metrics.

$115k - $142k

General Motors is seeking a Senior SaaS & AI Security Engineer to enhance the security of its cloud-based business applications and emerging artificial intelligence capabilities. This role focuses on SaaS security, identity, data protection, and AI risk management, implementing practical security controls throughout the SaaS and AI lifecycle. The ideal candidate will translate threats into scalable controls, collaborate with engineering and business teams, and improve organizational security maturity while fostering innovation.

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General Motors is seeking a Principal Software Engineer to lead the technical vision for their next-generation In-Vehicle AI Assistant platform. This role focuses on cabin intelligence, voice interaction, and conversational AI, spanning the Android Automotive OS (AAOS) client application layer, cloud AI orchestration pipelines, and backend service integration. You will shape the multi-year technical strategy, working across Cloud AI/ML, In-Cabin UX, Vehicle Platform, Security, and Infrastructure teams to build a scalable ecosystem. This is a high-impact opportunity to define the assistant experience for millions of vehicles worldwide.

$239k - $366k

GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles, focusing on defining and owning what the driver can do and how it feels. We are seeking hands-on Staff and Principal Software Engineers to transform ambiguous customer problems into high-quality, production-ready experiences. This role primarily involves working with Kotlin and Android Automotive, owning features across the in-vehicle assistant stack, including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI. The focus is on product engineering, emphasizing broad engineering judgment, rapid learning, and a track record of shipping complete products. This is a small, fast-moving team where you will have substantial autonomy, stay close to the code, help shape product direction, and improve organizational software delivery processes.

$189k - $290k