Simulation Systems Engineer: Scale, Reliability & Release

General Motors Ventures

Mountain View (CA)

On-site

USD 110,000 - 180,000

Full time

14 days+
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Job summary

General Motors Ventures seeks an engineer to lead release engineering, quality strategy, and scalable simulation improvements. You will own end-to-end release processes, drive testing strategy, and collaborate across teams to raise reliability and efficiency of the simulation ecosystem.

The role emphasizes cross-functional leadership, architectural thinking, and delivering measurable improvements in throughput and operational excellence within a large automotive-scale environment.

Qualifications

  • Experience improving release workflows, verification processes, or quality gates.
  • Ability to spot gaps in test coverage and drive systemic improvements.
  • Strong analytical thinking with distributed systems background.

Responsibilities

  • Lead improvements to the end-to-end simulation release process.
  • Define and drive the simulation-wide quality and test strategy.
  • Strengthen release readiness criteria, quality gates, and verification workflows.
  • Partner with product teams to reduce regressions and shorten validation cycles.
  • Improve performance, stability, and reliability of simulation frameworks.
  • Identify bottlenecks and deliver architectural improvements.
  • Enhance incident management, monitoring, and post-incident analysis.
  • Collaborate with cross-functional teams to align on scaling needs and quality.

Skills

Release engineering
Systems architecture
Software development

Job description

General Motors Ventures seeks an engineer to lead release engineering, quality strategy, and scalable simulation improvements. You will own end-to-end release processes, drive testing strategy, and collaborate across teams to raise reliability and efficiency of the simulation ecosystem.

The role emphasizes cross-functional leadership, architectural thinking, and delivering measurable improvements in throughput and operational excellence within a large automotive-scale environment.

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