Senior AI/ML Capacity Engineer

General Motors

United States

Hybrid

USD 145,000 - 261,000

Full time

14 days+

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Benefits offered by this job

Hybrid work arrangement
Health benefits
Employee wellbeing programs

Job summary

General Motors is seeking a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. The role focuses on capacity planning, ML infrastructure strategy, and optimizing cloud budgets for GM’s autonomous vehicle initiatives.

You will develop capacity models, build analytical tools, and collaborate with AI/ML teams, infrastructure teams, and cloud vendors to drive efficiency and performance improvements.

Qualifications

  • 5+ years of relevant work experience.
  • Bachelor's Degree in Computer Science or related field or relevant work experience.
  • Proficient in Python.
  • Proficient in BI platforms.
  • Experience with data modeling and working with SQL on large datasets such as BigQuery.
  • Good understanding of distributed systems including modern ML system architecture and design.

Responsibilities

  • Develop and refine technical models for capacity planning for GM’s AV infrastructure.
  • Design and build automated analytical tools for monitoring capacity and demand signals.
  • Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies

Skills

Python
BI platforms
SQL (BigQuery)
Distributed systems

Education

Bachelor's degree in Computer Science or related field

Job description

About Us

The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV research and development teams to build, test, and run faster in GM.

The Role

GM is looking for a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team in the AV Infrastructure org to support our critical efforts in developing autonomous vehicles. The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget, identify and execute optimization projects, and provide capacity planning and engineering expertise to support GM’s efforts in developing autonomous vehicles (AV).

What you’ll be doing (Responsibilities)
  • Develop and refine technical models for capacity planning for GM’s AV infrastructure
  • Design and build automated analytical tools for monitoring capacity and demand signals
  • Partner with AI/ML engineering, infrastructure engineering, and cloud vendors to proactively identify and drive optimization projects to increase engineering and cost efficiencies
Your skills & abilities (Required Qualifications)
  • 5+ years of relevant work experience
  • Bachelor's Degree in Computer science or related field or relevant work experience
  • Proficient in coding with Python (our preferred language)
  • Proficient in BI platforms
  • Experience with data modeling and working with SQL on large datasets such as BigQuery
  • Good understanding of distributed systems including modern ML system architecture and design
What will give you a competitive edge (Preferred Qualifications)
  • 8+ years of relevant work experience
  • Proficient in coding with Pandas and NumPy
  • Proficient in Looker and BigQuery
  • Good communication skills
  • Experience executing cross functional projects
  • Experience with Git, Linux, and common Linux CLI tooling
  • Experience with analyzing billing and usage data in GCP
  • Experience with modern ML system architecture and design
  • Experience with forecasting capacity demand
Hybrid Arrangement

This role is categorized as Hybrid. This means the successful candidate is expected to report to Sunnyvale Technical Center at minimum three days per week or at the hiring manager’s discretion. Ability to sit remote in Seattle, WA until office opens.

Compensation

Compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of NewYork, Colorado, California, or Washington.

The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential

An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

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, 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.

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.

Applicants in the Recruitment Process

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.

How we Hire

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 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.

Our Company

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.

Our Culture

Our vision: a world with Zero Crashes, Zero Emissions and Zero Congestion.

How we hire

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.

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).

Talent Community

As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

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