2027 Summer Intern – AIML Engineer, Autonomous Vehicles Simulation (PhD)

Job Description

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.

• Research and prototype advanced machine learning methods for perception prediction planning or decision-making.
• Design train evaluate and improve models using large-scale multimodal driving and sensor data.
• Build data pipelines experimentation workflows and evaluation tools for rapid model iteration.
• Validate models through simulation testing performance analysis and failure-case investigation.
• Optimize models and systems for scalability latency reliability and deployment constraints.
• Collaborate with engineering and research partners to integrate prototypes into autonomous vehicle systems.
• Document findings present technical insights and contribute to publications or other research outputs.

• Currently enrolled full-time in a PhD program in computer science machine learning artificial intelligence robotics engineering or a related STEM field.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship
• Demonstrated depth of AI/ML research through publications research projects advanced coursework or equivalent technical work.
• Strong understanding of modern machine learning and deep learning methods.
• Proficiency in Python and hands-on experience with an ML framework such as PyTorch TensorFlow or JAX.
• Experience designing experiments analyzing results and applying quantitative problem-solving methods.
• Strong programming debugging and software development fundamentals.
• Strong communication skills and the ability to collaborate across research and engineering disciplines.
• Availability to work full-time 40 hours per week during the internship period.

• Candidates are not expected to meet every qualification listed below. Depending on the needs of a specific Autonomous Vehicles team a combination of these skills and areas of knowledge may be relevant.
• Conduct research in autonomous vehicles ADAS robotics computer vision or embodied AI.
• Demonstrate knowledge of foundation models transformers generative and diffusion models or vision-language architectures.
• Apply multimodal learning techniques to camera lidar radar or other sensor data.
• Use self-supervised imitation reinforcement or deep reinforcement learning methods.
• Train models on large-scale datasets using distributed parallel or high-performance computing environments.
• Develop ML systems data pipelines experimentation frameworks or production-oriented model infrastructure.
• Validate models through simulation closed-loop environments or real-world driving scenarios.
• Apply expertise in trajectory prediction behavior planning motion planning perception mapping or structured scene understanding.
• Program in C or other systems programming languages.
• Optimize models and systems using GPU programming CUDA accelerator frameworks or performance profiling.
• Apply numerical optimization statistical estimation probabilistic modeling and systems-level tradeoff analysis.
• Demonstrate a strong research record through first-authored publications grants fellowships patents or open-source contributions.

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York Colorado California or Washington.

• The salary range for this role is $12300-$14600 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits please apply using the permanent address you would move from.

• Paid US GM Holidays
• GM Family First Vehicle Discount Program
• Result-based potential for growth within GM
• Intern events to network with company leaders and peers

• Start dates for this internship role are May 24th and June 14th of 2027.
• Assignments will be based on team placement to ensure interns are located with their working team and leader.
• Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week at minimum.

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