Senior Capacity and Performance Engineer

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to the office in Sunnyvale a minimum of 3 days per week.

About the Role

GM is looking for a Senior Capacity and Performance Engineer to join the AV Capacity and Performance Engineering team 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 performance 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

• Design and execute performance benchmarks to measure capacity limits of our systems from ML training platforms to inference services to infrastructure components

Your Skills & Abilities (Required Qualifications)

• 3+ years or relevant work experience.

• Bachelors Degree in Computer science or related field or relevant work experience

• Proficient in coding with modern languages

• Proficient in BI platforms

• Experience with data modeling and working with SQL on large datasets

• Experience with performance testing, monitoring, and analysis tools

• Good understanding of distributed systems including modern ML system architecture and design

What Will Give You A Competitive Edge (Preferred Qualifications) 

• 5+ years of relevant work experience

• Proficient in coding with Python (our preferred language)

• Prior experience with modern ML system architecture and design

• Proficient in Looker and BigQuery 

• Prior performance testing experience in benchmarking ML workloads in large GPU (200+) environments 

• Prior experience with analyzing billing and usage data in GCP, Azure, or AWS 

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 $175,000 to $225,000. 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 categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

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 Reward