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About the Role

We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you’ll work closely with ML engineers and researchers to ensure efficient model serving and inference in production, for workflows such as data mining, labeling, model distillation, evaluations, simulations and more. This is a high-impact opportunity to influence the future of AI infrastructure at GM. You will play a key role in shaping the architecture, roadmap and user-experience of a robust ML inference service supporting real-time, batch, and experimental inference needs. The ideal candidate brings experience in designing distributed systems for ML, strong problem-solving skills, and a product mindset focused on platform usability and reliability.

Responsibilities

Design and implement core platform backend software components.
Collaborate with ML engineers and researchers to understand critical workflows, parse them to platform requirements, and deliver incremental value.
Lead technical decision-making on model serving strategies, orchestration, caching, model versioning, and auto-scaling mechanisms for highly optimized use of accelerators.
Drive the development of monitoring, observability, and metrics to ensure reliability, performance, and resource optimization of inference services.
Proactively research and integrate state-of-the-art model serving frameworks, hardware accelerators, and distributed computing techniques.
Lead technical initiatives across GM’s ML ecosystem.
Raise the engineering bar through technical leadership, establishing best practices.
Contribute to open source projects; represent GM in relevant communities.

Requirements

5+ years of industry experience, with focus on machine learning systems or high performance backend services.
Expertise in either Python, C++ or other relevant coding languages.
Expertise in ML inference, model serving frameworks (triton, rayserve, vLLM etc).
Strong communication skills and a proven ability to drive cross-functional initiatives.
Ability to thrive in a dynamic, multi-tasking environment with ever-evolving priorities.
Deep expertise building zero-to-one ML infrastructure platforms.
Experience working with or designing interfaces, apis and clients for ML workflows.
Experience with Ray framework, and/or vLLM.
Experience with distributed systems, and handling large-scale data processing.
Familiarity with telemetry, and other feedback loops to inform product improvements.
Familiarity with hardware acceleration (GPUs) and optimizations for inference workloads.

Skills

Python
C++
ML inference
Model serving frameworks
triton
rayserve
vLLM
Distributed systems
Ray framework
Hardware acceleration
GPUs

Location

Remote
Mountain View

Work Type

Remote
Hybrid

Experience Level

Senior

Salary/Compensations

$155,420 to $205,900

Benefits

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Relocation benefits

About the Company

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.
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.
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.
We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations
We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.
Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

Equal Opportunity

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.
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 at 1-800-865-7580.
In 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.