Senior AI/ML Capacity Engineer

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CASeattle, WA
Salary
$144,700–$261,300 / yr
Employment
Full-time
Posted
71 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $203k
$130k $278k
below market most similar roles pay here above market

This role pays less than 58% of similar roles. Most pay $172,000–$251,937 — the blue band above. At the midpoint, this role pays about $203k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Senior AI/ML Capacity Engineer

The Senior AI/ML Capacity Engineer joins the AV Capacity and Performance Engineering team within the AV Infrastructure organization. This role focuses on supporting the development of autonomous vehicles by providing capacity planning and engineering expertise for large-scale ML infrastructure. The engineer will develop technical models for capacity planning, build automated analytical tools to monitor demand signals, and partner with infrastructure and cloud teams to drive optimization projects for cost and engineering efficiency. Key technical requirements include proficiency in Python, SQL, and BI platforms, along with experience in data modeling using BigQuery. Candidates should possess a strong understanding of distributed systems and modern ML system architecture. The work involves analyzing billing and usage data in GCP to manage cloud budgets and infrastructure strategy for AV research.

What you'll do

  • Develop and refine technical models for capacity planning of AV infrastructure.
  • Design and build automated analytical tools to monitor capacity and demand signals.
  • Partner with engineering teams and cloud vendors to identify and drive optimization projects.
  • Increase engineering and cost efficiencies through proactive infrastructure management.
  • Provide capacity planning and engineering expertise to support autonomous vehicle development.
  • Analyze billing and usage data to advise on large-scale ML infrastructure strategy.
  • Provide input into key decisions affecting the company's cloud budget.

What we're looking for

  • 5+ years of relevant work experience.
  • Bachelor's Degree in Computer Science or related field or relevant work experience.
  • Proficient in coding with Python (preferred).
  • 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.
  • Proficient in coding with Pandas and NumPy (preferred).
  • Proficient in Looker and BigQuery (preferred).

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