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