2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving (Master's Degree)
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 7300 - 10600
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
About the Team:
We are buildingastate-of-the-art AI training platforminclose collaborationwith model teams to deliver Autonomous car milestones maximizingmodel flop utilizationand iteration speed and enhancinginference systems.Weare augmentingtrainingdata processingevaluation andthedeployment loop witha data flywheel to validate performance and continuously improve Autonomousdrivingand Active Safety.We accelerate compute performance through architectural changes and low-level optimizations informed by advanced Carbench/HIL platforms AI tooling and workflows and instrumentation built in-house.Westreamlinecompiler/build and modelbench performance; enhance data processing preprocessing andbatchinference; and improve monitoringandavailability to increase velocity and quality.
WorkArrangement:
Hybrid: Thisinternship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team.
To help facilitate administration oftherelocationstipendif you are selected please apply using the permanent address you would move from.
Location:
San Francisco California
Sunnyvale California
MountainView California
Seattle Washington
About the Role:
As an intern you will help develop andoptimize ourAItraining platform byimproving data processing pipelines accelerating model training and inference workflowsand/ 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 advancing autonomous driving performance.
What Youll 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.
RequiredQualifications:
Currently enrolled inafull-time degree-seeking program and in the process of obtaining aMastersdegree in computer science or a related technical field.
Experience in systems software or algorithms.
Experience with modernobject-oriented programming languages (e.g. Java C Python).
Strong communication skills with experience collaborating across cross-functional teams.
Able to work fulltime40 hoursper week.
Preferred Qualifications
Demonstrated software engineer experience via an internship work experience coding competitions.
Familiaritywith AIassisted engineering tools (e.g. for code generation model analysis or experiment planning) to enhanceproductivityandunderstanding ofML systems.
Demonstrated creativity and quick problem-solving capabilities.
Research and/or work experience in a relevant field such as machine learning deep learning reinforcement learning NLP recommendation systems pattern recognition signal processing data mining artificial intelligence or computervision.
Experiencewith distributed systems (e.g. Spark Ray Kubernetes Slurm).
Experience inCUDA OpenCL Triton or other accelerator programming language.
Intentto return to degree-program after the completion of the internship.
Graduating between December 2026 andAugust2027.
Compensation:
The monthly salary range for this role is$7300- $10600 per month.
GM will provide aone-time lump sum taxable stipend payment to eligible students selected for the 2026Student Program.
What youll 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
About GM
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Benefits Overview
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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
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Required Experience:
Intern
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