2026 Summer Intern - AI/ML Engineer - Cloud & Developer Infrastructure (Bachelor's)

GM-posted 6 days ago
Full-time • Intern
Hybrid • Mountain View, CA
5,001-10,000 employees
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As an intern, you will help develop and optimize our AV ML Infra by improving data processing pipelines, scheduling, accelerating model training and inference workflows, and/or enhancing testing infrastructure like Carbench/HIL. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for autonomous driving performance.

  • 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.
  • Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor'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.
  • 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
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