2026 Summer Intern – Machine Learning Systems Engineer – Autonomous Driving (Bachelor's Degree)
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 7300 - 8600
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
GM does not provide immigration-related sponsorship for this role. Do not apply for this role ifyou willneed GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc.)
To help facilitate administration of the relocationstipend if you are selected and eligibleplease apply using the permanent address you would move from.
Work Arrangement:
Hybrid: This internship is categorized ashybrid. The selected intern is expected to report to the office up to three times per week or asdeterminedby the team.
Location:
San Francisco California
Sunnyvale California
MountainView California
Seattle Washington
About the Team:
We are buildinga state-of-the-artAI training platforminclose collaborationwith model teams to deliver Autonomous car milestones maximizingMFU and iteration speed and enhancinginference systems.Weare augmentingtrainingevaluationandthedeployment loop witha data flywheel tovalidateperformance and continuously improve Autonomousdrivingand Active Safety.We acceleratecomputeperformance through architectural changes and low-level optimizations informed by advancedCarbench/HIL platforms AI tooling and workflows and instrumentation built in-house.Westreamlinecompiler/build andmodelbenchperformance; enhance data processing preprocessing andbulk inference; and improve monitoringandavailability to increase velocity and quality.
About the Role:
As an intern you will help develop andoptimizeour AI training platform by improving data processing pipelines accelerating model training and inference workflowsand/orenhancingtesting infrastructure likeCarbench/HIL. You will support tool development instrumentation and systemmonitoringto boost reliability reduce latency and increase iteration speed for advancing autonomous driving performance.
WhatYoullDo:
Develop scalable infrastructure and tools to support model training regression and rules-based models.
Suggestcollectand 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:
Currentlyenrolled in a full-time degree-seeking program andin the process of obtainingaBachelorsdegree in computer science or a related technical field.
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 computer vision.
Experience in systems software or algorithms.
Experience with modern object-oriented programming languages (e.g. Java C Python).
Strong communicationskills with experience collaborating across cross-functional teams
Able to work fulltime40 hoursper week
Preferred Qualifications
Intent to return todegree-program after the completion of the internship.
Demonstrated software engineer experience via an internship work experience codingcompetitions.
FamiliaritywithAI assisted engineeringtools (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
Experience with distributed systems (e.g. Spark Ray KubernetesSlurm)
Experience inCUDA OpenCLTritonor other accelerator programminglanguage.
Intent to return todegree-program after the completion of the internship.
Graduating between December 2026 and August 2027.
Compensation:
The monthly salary range for this role is$7300 - $8600 per month.
GM will provide aone-time lump sum taxable stipend payment to eligible students selected for the 2026Student Program.
Whatyoullget from us (Benefits):
Paid US GM Holidays
GM Family First Vehicle Discount Program
Result-based potential for growth within GM
About GM
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Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
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
Key Skills
- Microsoft Office
- Public Relations
- Google Docs
- Data Collection
- MailChimp
- Microsoft Word
- Dermal Fillers
- Microsoft Powerpoint
- Research Experience
- Microsoft Excel
- Adobe Photoshop
- Writing Skills
About Company
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