Description
Work Arrangement:
Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week.
Location:
Sunnyvale, CA
About the Team
The State Estimation, Alignment, and Mapping (SEAM) team develops the sensing and spatial understanding capabilities that help autonomous vehicles know where they are, interpret their surroundings, and maintain reliable operation over time. The team works on sensor fusion, state estimation, real-time localization, static and dynamic sensor calibration, next-generation mapping, and capabilities that support primary and fallback driving systems.
SEAM combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering. Our work supports both onboard, real-time autonomy and offboard, high-fidelity map and data-generation workflows.
About the Role
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: Combine information from multiple sensors and vehicle signals to estimate position, orientation, motion, and other states robustly.
- Sensor Alignment and Calibration: Develop methods for static and dynamic calibration, sensor registration, and maintaining alignment as vehicle and environmental conditions change.
- Localization: Improve real-time localization and map-based positioning across diverse driving environments.
- Next-Generation Mapping: Build or evaluate high-fidelity, large-scale maps that provide useful spatial context beyond the immediate sensor range.
- Fallback and Secondary Capabilities: Develop reliable estimation, localization, or mapping functions that support safe operation when nominal system capabilities are unavailable or degraded.
What You’ll Do
- Develop, prototype, and evaluate algorithms for sensor fusion, state estimation, localization, calibration, mapping, or related autonomy capabilities.
- Work with camera, lidar, radar, inertial, vehicle, map, and other multimodal data sources.
- Implement software and tools for data processing, visualization, offline analysis, simulation, and system evaluation.
- Analyze accuracy, robustness, latency, and failure modes across diverse operating conditions.
- Apply software engineering best practices, including design reviews, code reviews, automated testing, continuous integration, and documentation.
- Collaborate with perception, planning, controls, robotics, systems engineering, and vehicle-program partners.
- Communicate technical findings and contribute to design discussions and project documentation.
Required Qualifications
- Currently enrolled in or pursuing a Master’s or Ph.D. degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field.
- Demonstrated experience through coursework, research, academic projects, or professional work in robotics, state estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area.
- Strong programming skills in C++ and/or Python.
- Strong foundation in linear algebra, probability, geometry, optimization, or estimation methods.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a cross-functional, team-oriented environment.
- Strong written, verbal, and presentation skills.
- Availability to work full-time, 40 hours per week, during the internship period.
Preferred Qualifications
- Experience with Kalman filtering, factor graphs, SLAM, visual-inertial odometry, bundle adjustment, point clouds, geometric computer vision, or multi-sensor calibration.
- Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, ROS, or safety-critical systems.
- Experience with large-scale sensor or map datasets, simulation, data association, or offline evaluation.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Familiarity with real-time systems, distributed systems, high-performance computing, or production software development
- Intent to return to a degree program after completion of the internship or co-op.
- Must be graduating between December 2027 and June 2028
Compensation:
- The monthly salary range for this role is $11,800 – $14,600 per month
- GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program.
What You’ll Get from Us
- Paid U.S. GM holidays.
- GM Family First Vehicle Discount Program.
- Potential for growth within GM based on performance and business needs.
- Intern events and opportunities to network with company leaders and peers.
- Mentorship and hands-on experience with the data and ML foundations behind autonomy
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.