General Motors
2027 Intern - AI/ML Engineer, Autonomous Vehicle ML Infrastructure
Sunnyvale, California, United States of America · Hybrid · Internship · Posted Oct 14, 2026
- Experience
- No specific number of years stated.
- Education
- Currently enrolled in a full-time, degree-seeking program pursuing a Bachelor's or Master's degree in computer science or a related technical field.
About the job
Develop and optimize infrastructure, tools, and workflows for machine learning training, inference, data processing, and testing for autonomous vehicles.
What you'll do
- Develop scalable infrastructure and tools for model training, regression, rules-based models, operations, and inference.
- Adapt machine learning methods to distributed clusters, multicore systems, and GPUs.
- Gather and synthesize requirements, support feature roadmaps, and deliver code with the engineering team.
What they ask for
- Currently pursuing a Bachelor's or Master's degree in computer science or a related technical field.
- Experience in systems software or algorithms.
- Experience coding in a modern object-oriented language; examples include Java, C/C++, Perl, PHP, Go, or Python.
- Strong communication and cross-functional collaboration skills; available to work 40 hours per week.
Nice to have
- Software engineering experience through an internship, work experience, or coding competitions; machine learning infrastructure experience is also welcomed.
- Familiarity with AI-assisted engineering tools, distributed systems, Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable, or scheduling and orchestration.
Pay
$9,600 - $11,800 per month (salary; base or total pay not specified)
Tools
Java, C++, Python, Perl, PHP, GO, Hadoop/Hbase/Pig, Spark
AI focus
Build and optimize autonomous-vehicle ML infrastructure, including data pipelines, model training and inference workflows, testing, and AI-assisted engineering tools.
Model-written summary · the original posting is authoritative