Simulation Scalability Engineer: Reliable, High-Throughput Runs

General Motors; Mountain View (CA); On-site; USD 153,000 - 234,000; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Tuition assistance

Job summary

General Motors is seeking engineers to join the Simulation Scalability team in Mountain View to improve release management, testing strategy, and system reliability across large-scale simulation pipelines.

You will shape end‑to‑end release processes, drive quality gates, and collaborate with product and infrastructure teams to reduce regressions and accelerate validation cycles. Strong coding in Python or C++ is required, with a focus on distributed, production-grade systems.

Qualifications

• Strong programming skills in Python or C++.
• Experience designing, building, or supporting production‑grade systems.
• Background in reliability, performance, or developer workflows in distributed systems.

Responsibilities

• Lead improvements to end‑to‑end simulation release processes and quality strategies.
• Define simulation‑wide testing and validation approaches, including shift‑left testing.
• Strengthen release readiness criteria and verification workflows across teams.
• Collaborate with product teams to reduce regressions and shorten validation cycles.
• Improve performance and stability of simulation frameworks and core tooling.
• Identify systemic bottlenecks and drive architectural improvements for scalability.

Skills

Python

C++

Distributed systems

Reliability engineering

Job description

General Motors is seeking engineers to join the Simulation Scalability team in Mountain View to improve release management, testing strategy, and system reliability across large-scale simulation pipelines.

You will shape end‑to‑end release processes, drive quality gates, and collaborate with product and infrastructure teams to reduce regressions and accelerate validation cycles. Strong coding in Python or C++ is required, with a focus on distributed, production-grade systems.