2027 Intern AIML Engineer, Autonomous Vehicle ML Infrastructure

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 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 process of obtaining a Bachelors or Masters 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 $9600 - $11800 per month.
GM will provide a one-time lump sum taxable stipend payment to eligible
students selected for the 2027 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