2027 Summer Intern - Machine Learning Engineer, AVAI Platform

Job Description

About the Team:

GMs AV/AI Platform organization builds the software foundation and engineering tools that power safe reliable and scalable autonomous driving and advanced driver-assistance systems. We are building a state-of-the-art AI training platform in close collaboration with model teams to deliver Autonomous car milestones maximizing model flop utilization and iteration speed and enhancing inference systems. We are augmenting training data processing evaluation and the deployment loop with a data flywheel to validate performance and continuously improve Autonomous driving and Active Safety. W e accelerate compute performance through architectural changes and low-level optimizations informed by advanced HIL platforms AI tooling and workflows and instrumentation built in-house. We streamline compiler/build and modelbench performance; enhance data processing preprocessing and batch inference; and improve monitoring and availability to increase velocity and quality.

About the Role:

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.

What Youll Do:

• Develop scalable infrastructure and tools to support model training model deployment to the edge devices egression and rules-based models operations and inference.

• Suggest collect and synthesize requirements and work with your managers or tech leads to create feature roadmap

• Code deliverables in tandem with the engineering team.

• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters multicore SMP and GPU).

• Perform specific responsibilities which vary by team.

Required Qualifications:

• Currently enrolled in a full-time degree-seeking program and in the process of obtaining a Bachelors or Masters degree in computer science artificial intelligence machine learning robotics engineering or a related STEM field.

• Must be graduating between December 2027 and August 2029 and have at least one additional quarter/semester of school remaining following the completion of the internship.

• Availability to work full-time40 hoursper week during the 12 week summer internship period between May 24th August 13th or June 14th September 3rd 2027

• Strong foundation in algorithms and data structures with proficiency in C Python or another object-oriented programming language.

• Demonstrated coursework project research or applied experience in artificial intelligence or machine learning

• Experience with algorithms software development or systems engineering fundamentals

• Strong written and verbal communication skills and the ability to collaborate across teams.

Preferred Qualifications

• Demonstrated software engineering experience through an internship work experience coding competition student engineering team or competition (e.g. SAE student competitions EcoCAR Formula SAE or Baja SAE) research coursework or personal project. Relevant experience may include vehicle systems autonomy robotics embedded software controls simulation sensor data or ML; exposure to AI-assisted development tools agentic workflows or LLM-powered tools is a plus.

• Familiarity with AI assisted engineering tools (e.g. for code generation model analysis or experiment planning) to enhance productivity and understanding of ML systems.

• Demonstrated creativity and quick problem-solving capabilities.

• Research and/or work experience in a relevant field such as machine learning deep learning reinforcement learning NLP recommendation systems pattern recognition signal processing data mining artificial intelligence or computer vision

• Experience programming in C Python or another object-oriented language

• Exposure to distributed systems and ML infrastructure such as Spark Ray Kubernetes Slurm PyTorch TensorRT ONNX Kubeflow or similar technologies and/or accelerator programming with CUDA OpenCL Triton or related tools.

• Experience with distributed systems (e.g. Spark Ray Kubernetes Slurm)

• Experience in CUDA OpenCL Triton or other accelerator programming language.

• Passion for self-driving technology and its potential impact on the world

Compensation:

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 $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.

Work Arrangement:
Hybrid : This internship is categorized as hybrid. The selected intern is expected to report to the Sunnyvale CA office up to three times per week or as determined by the team.

Location:

Sunnyvale California

About GM

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Why Join Us

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Benefits Overview

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire .

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Required Experience:

Intern