Simulation Reliability & Release Engineer

Brian and Sons; Mountain View (CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Health Savings Account

Flexible Spending Accounts

Retirement savings plan

Life insurance

Paid vacation & holidays

Tuition assistance programs

Employee assistance program

GM vehicle discounts

Job summary

General Motors is seeking an experienced engineer to lead release management and quality strategy for our Simulation Scalability team. You will define and drive simulation‑wide quality, automate validation, and strengthen verification workflows across multiple teams.

You will collaborate with product, infrastructure, and platform groups to reduce regressions, improve throughput, and ensure higher‑confidence releases while enhancing scalability and operational excellence across the simulation

Qualifications

• Strong programming skills in Python or C++.
• Experience designing, building, or supporting production‑grade systems in distributed environments.
• Ability to operate in ambiguous problem spaces and drive clarity across teams.

Responsibilities

• Lead improvements to the end-to-end simulation release process and define quality strategies.
• Strengthen release readiness criteria, safety gates, and verification workflows.
• Partner with product teams to reduce regressions and shorten validation cycles.
• Improve signals, metrics, and monitoring to catch release‑related issues earlier.

Skills

Python

C++

Distributed systems

Reliability engineering

Job description

General Motors is seeking an experienced engineer to lead release management and quality strategy for our Simulation Scalability team. You will define and drive simulation‑wide quality, automate validation, and strengthen verification workflows across multiple teams.

You will collaborate with product, infrastructure, and platform groups to reduce regressions, improve throughput, and ensure higher‑confidence releases while enhancing scalability and operational excellence across the simulation