Senior AIML Engineer

Job Description

Senior AI / ML Engineer AV ML Infra

Were General Motors (GM) a company driving the future of mobility with advanced self-driving and electric vehicle technologies.

Were building the worlds most innovative autonomous vehicles to safely connect people to the places things and experiences they care about. We believe self-driving vehicles will help save lives reshape cities give back time in transit and restore freedom of movement for many.

GM employees have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility theres an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles join us.

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 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 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.

Position Overview :

As a Senior AI / ML Engineer you will focus on designing and implementing scalable ML infrastructure solutions. You will take ownership of key technical projects provide mentorship to junior engineers and collaborate across teams to solve complex problems. This is an individual contributor role emphasizing deep technical impact rather than leadership of large teams.

Note : This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale .

What youll be doing :

Design & Implementation : Utilize the latest cloud technologies (GCP / Azure) to design implement and test scalable distributed computing and data processing solutions in the cloud.

Project Ownership : Take ownership of technical projects from inception to completion contribute to the product roadmap and make informed decisions on major technical trade-offs.

Collaboration : Engage effectively in team planning code reviews and design discussions considering the impact of projects across multiple teams while proactively managing conflicts.

Mentorship & Recruitment : Conduct technical interviews with calibrated standards onboard and mentor engineers and interns fostering a culture of growth and knowledge sharing.

What you must have :

5 years of experience with a strong background in large-scale distributed systems preferred.

1 years of experience leading and driving large-scale initiatives.

Proficiency in building scalable infrastructure on the cloud using Python C Golang or similar languages.

Experience working with relational and NoSQL databases.

Demonstrated ability to develop and maintain systems at scale.

A Bachelors Masters or Ph.D. in Computer Science Electrical Engineering Mathematics Physics or a related field; or equivalent practical experience.

A passion for autonomous vehicle technology and its transformative potential.

Strong attention to detail and a commitment to accuracy.

A proven track record of efficiently solving complex problems.

A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

Bonus Points :

Experience with Google Cloud Platform Microsoft Azure or Amazon Web Services.

Experience with open-source orchestration platforms such as Kubeflow Flyte Airflow etc.

Experience with Kubernetes.

Understanding of Machine Learning (ML) models / pipelines.

Python / C / Golang proficiency .

Relevant publications.

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call us your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Required Experience :

Senior IC

Key Skills

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 800 - 7580