2026 Summer Intern AIML Engineer AV ML Infrastructure (Master's)
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Job Location:
Mountain View, CA - USA
Monthly Salary:
$ 9100 - 10600
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
GM does not provide immigration-related sponsorship for this role. Do not apply for thisrole if you will need GM immigration sponsorship now or in the future. This includes directcompany sponsorship entry of GM as the immigration employer of record on agovernment form and any work authorization requiring a written submission or otherImmigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc.)
Work Arrangement:
Hybrid: This internship is categorized as a hybrid. The selected intern is expected to reportto the office up to three times per week or as determined by the team.
Location:
San Francisco California
Sunnyvale California
Mountain View 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 Infraby improvingdata processing pipelines scheduling accelerating model training and inference workflows and/orenhancing testing infrastructure like Carbench/HIL. You will support tool developmentinstrumentation and system monitoring to boost reliability reduce latency and increaseiteration speed for 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.
Required Qualifications:
Currently enrolled in a full-time degree-seeking program and in the processof obtaining a Masters degree in computer science or a relatedtechnical field.
Experience in systems software or algorithms.
Experience with modern object-oriented programming languages (e.g. JavaC 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 fulltime 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 2026 and August 2027.
Compensation:
The monthly salary range for this role is $9100 - $10600 per month.
GM will provide a one-time lump sum taxable stipend payment to eligible
students selected for the 2026 Student 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
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
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
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
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.
Accommodations
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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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