2027 Intern - AI/ML Engineer, Autonomous Vehicle ML Infrastructure

General Motors Corporation; Sunnyvale (CA); Hybride; USD 107 000 - 132 000; Plein temps

Avantages offerts par ce poste

Paid holidays

Vehicle discount

Growth opportunities

Intern events

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Java

C++

Python

Perl

PHP

GO

Systems software

Cross-functional collaboration

Formation

Bachelor's degree in computer science or related field

Master's degree in computer science or related field

Outils

Hadoop/HBase/Pig

MapReduce/Sawzall/Bigtable

Spark

Kubernetes

Ray

Slurm

Description du poste

**Job Description****Work Arrangement:** Hybrid: This internship is categorized as a hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. **Location:** Sunnyvale, California **About the Team:** The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques. **Our AV ML infrastructure includes:** AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.AV Pipelines & Lineage: Automates ML workflows via Orchestration platform while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility. Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization. **About the Role:** 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/orenhancing 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. **What You’ll Do:** • 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. **Required Qualifications:** • Currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelor's or 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 full-time, 40 hours per week. **Preferred Qualifications:** • 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 2027 and August 2028. **Compensation:** • The monthly salary range for this role is $9,600 - $11,800 per month. • GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program. **What You’ll Get from Us (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