Senior AI/ML Capacity Engineer

General Motors (GM)

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CASeattle, WA
Salary: $144,700–$261,300 / yr
Posted: 25 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k

This role $203k

$131k most similar roles pay here $277k

This role pays less than 63% of similar roles. Most pay $177,900–$254,750 — the shaded band above. At the midpoint, this role pays about $203k versus about $216k 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 116 open roles on FindRole.

Listed pay typically runs $160,200–$245,000 across 59 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

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The Senior AI/ML Capacity Engineer joins the AV Capacity and Performance Engineering team within the AV Infrastructure organization to support critical efforts in developing autonomous vehicles. This role focuses on providing capacity planning and engineering expertise, including developing technical models for infrastructure capacity, building automated analytical tools for monitoring demand signals, and partnering with internal teams and cloud vendors to drive optimization projects that improve cost efficiencies. The successful candidate will utilize Python, Pandas, NumPy, SQL, and BigQuery to manage large datasets and analyze billing information. Key competencies include a deep understanding of distributed systems, modern ML system architecture, and data modeling. Technical skills also encompass Git, Linux, and common CLI tooling. This role addresses the technical challenge of managing large-scale ML infrastructure strategy and capacity forecasting for autonomous vehicle research and development.

Skills

Python BigQuery SQL Pandas NumPy Looker GCP Git Linux CLI Data Modeling Distributed Systems ML System Architecture Capacity Planning BI Platforms

What you'll do

Develop and refine technical models for capacity planning across autonomous vehicle infrastructure.
Build automated analytical tools to monitor capacity and demand signals.
Identify and lead optimization projects to improve engineering and cost efficiencies.
Provide expert advice on large-scale ML infrastructure strategy and cloud budget decisions.
Analyze billing and usage data to optimize cloud resource consumption.
Forecast capacity demands for high-performance computing and GPU platforms.
Manage technical relationships with AI/ML engineering teams and cloud vendors.

What we're looking for

Bachelor's Degree in Computer Science or a related field.
5+ years of relevant work experience.
Proficiency in coding with Python.
Proficiency in BI platforms and tools like Looker.
Experience with data modeling and SQL on large datasets such as BigQuery.
Good understanding of distributed systems and modern ML system architecture.
Proficiency in using Pandas and NumPy for data analysis.
Experience with Git, Linux, and common Linux CLI tooling.

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