AI/ML Infra Intern: Build Scalable Training & Inference

General Motors Corporation; Sunnyvale (CA); Hybrid; USD 107,000 - 132,000; Full time

Benefits offered by this job

Paid holidays

Vehicle discount

Growth opportunities

Intern events

Job summary

General Motors Corporation in Sunnyvale, CA is offering a hybrid ML Infra internship focused on developing data processing pipelines, scheduling, and accelerating model training and inference workflows. You will contribute to tool development, instrumentation, and monitoring to boost reliability and reduce latency in autonomous driving platforms.

The role requires pursuing a bachelor's or master's in CS or a related field, with programming experience in Java/C++/Python.

Qualifications

• Currently enrolled in a full-time degree program pursuing a Bachelor's or Master's degree in computer science or 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 and ability to collaborate across teams.

Responsibilities

• Develop scalable infrastructure and tools to support model training, regression, and inference tasks.
• Assist in collecting requirements and contribute to feature roadmaps.
• Code deliverables in tandem with the engineering team.
• Adapt machine learning methods to parallel environments (distributed clusters, multicore SMP, GPU).
• Participate in testing infra like Carbench/HIL and monitor system performance.

Skills

Java

C++

Python

Perl

PHP

GO

Systems software

Cross-functional collaboration

Education

Bachelor's degree in computer science or related field

Master's degree in computer science or related field

Tools

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Spark

Kubernetes

Ray

Slurm

Job description

General Motors Corporation in Sunnyvale, CA is offering a hybrid ML Infra internship focused on developing data processing pipelines, scheduling, and accelerating model training and inference workflows. You will contribute to tool development, instrumentation, and monitoring to boost reliability and reduce latency in autonomous driving platforms.

The role requires pursuing a bachelor's or master's in CS or a related field, with programming experience in Java/C++/Python.