Senior AI/ML Capacity Architect

General Motors Ventures

Sunnyvale (CA)

Hybrid

Confidential

Full time

14 days+
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Benefits offered by this job

Health benefits
Retirement savings plan
Bonus potential

Job summary

General Motors is seeking a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. You will help develop capacity models, build automated tools, and collaborate with AI/ML and cloud teams to optimize engineering and cost efficiency.

The role is Hybrid, with on-site presence at Sunnyvale Technical Center at least three days per week; remote work possible from Seattle until office opens.

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.

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

5+ years experience
Python
BI platforms
SQL/BigQuery
Distributed systems

Education

Bachelor's degree in CS or related field

Tools

Looker
BigQuery
Git
Linux

Job description

General Motors is seeking a Senior Capacity Engineer to join the AV Capacity and Performance Engineering team within the AV Infrastructure organization. You will help develop capacity models, build automated tools, and collaborate with AI/ML and cloud teams to optimize engineering and cost efficiency.

The role is Hybrid, with on-site presence at Sunnyvale Technical Center at least three days per week; remote work possible from Seattle until office opens.

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