Senior AI/ML Capacity Engineer

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   s kills &   a bilities (Required Qualifications)
• 5 + years o f   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   w ill   g ive   y ou   a   c ompetitive   e dge (Preferred Qualifications)

• 8 + years of relevant work experience
• Proficient in coding with P andas and NumPy
• Proficient in Looker and   BigQuery
• Good communication   skills
• Experience executing cross functional projects
• Experience   with Git, Linux, and common Linux CLI tooling
• E xperience with analyzing billing and usage data in GCP
• E xperience with modern ML system architecture and design
• Experience with forecasting capacity demand

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Hybrid:   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:   The 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 New York, 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.