2026 Summer Intern - AI/ML Engineer - AV ML Infrastructure (Master's)

General Motors is seeking a 2026 Summer Intern for their AI/ML Engineer position. The role involves developing and optimizing the AV ML Infrastructure to improve data processing pipelines and enhance testing infrastructure for autonomous driving performance.

Responsibilities

• Develop scalable infrastructure and tools to support model training, regression, and rules-based models, operations, and inference
• Suggest, collect and synthesize requirements and create effective 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

Skills

• Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master's degree in computer science or a related technical field
• Experience in systems software or algorithms
• Experience with modern object-oriented programming languages (e.g., Java, C++, Python). Experience coding in Java, C/C++, Perl, PHP, GO or Python
• Strong communication skills with experience collaborating across cross-functional teams
• Able to work fulltime, 40 hours per week
• Demonstrated software engineer experience via an internship, work experience, coding competitions
• Familiarity with AI-assisted engineering tools (e.g., for code generation, model analysis, or experiment planning)
• Demonstrated creativity and quick problem-solving capabilities
• Research and/or work experience in machine learning infrastructure
• Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
• Experience with distributed systems (e.g., Spark, Ray, Kubernetes, Slurm)
• Experience in scheduling algorithms, orchestration or compute
• Intent to return to degree-program after internship
• Graduating between December 2026 and August 2027

Benefits

• 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

Company Overview