Staff Software Engineer, Simulation Platform

General Motors (GM)

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Sunnyvale, CA
Employment: Full-time
Posted: 21 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $200k

$141k $252k

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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 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer, Simulation Platform

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The Staff Software Engineer - Simulation Platform (Galileo) joins the Simulation, Evaluation, and Data organization to develop core infrastructure for test triggering, simulation execution, and result analysis. This role involves defining the technical vision and multi-year roadmap for Galileo, designing scalable systems to orchestrate millions of simulation miles, and building platform capabilities for test-suite management, data processing, and visualization. You will establish architectural patterns for distributed systems and cloud-based infrastructure while resolving bottlenecks in performance and reliability. Key technologies include Python and at least one of Go, C++, Java, or TypeScript, alongside experience with CI/CD, observability, and relational databases like PostgreSQL. The work focuses on solving complex problems in autonomous-driving and robotics by providing fast, trustworthy feedback on vehicle behavior through automated evaluation and data pipelines.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

Python Go C++ Java TypeScript Distributed Systems CI/CD PostgreSQL BigQuery DuckDB Amazon Redshift dbt Dataform SQLMesh ROS Streamlit Looker Observability Automated Testing

What you'll do

Define and evolve the technical vision, architecture, and multi-year roadmap for simulation-platform capabilities.
Design and implement highly scalable systems to orchestrate and analyze millions of simulation miles and test results.
Build platform capabilities for test creation, suite management, execution orchestration, result storage, and data processing.
Establish durable architectural patterns for distributed systems, service interfaces, and cloud-based infrastructure.
Identify and resolve bottlenecks in performance, reliability, cost, usability, and operational scalability.
Drive engineering excellence through design reviews, automated testing, continuous integration, and observability.
Translate customer needs into pragmatic technical strategies and deliverables in partnership with product and engineering leaders.
Mentor engineers through technical guidance, reusable patterns, documentation, and constructive feedback.

What we're looking for

Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical field, or equivalent practical experience.
7+ years of experience building and operating production software systems, platforms, or infrastructure.
Proven experience providing cross-team technical leadership, including defining strategies or architectures adopted by multiple teams.
Strong experience designing and implementing distributed systems, service-oriented or microservice architectures, and data-intensive applications.
Production programming experience in Python and at least one additional language such as Go, C++, Java, or TypeScript.
Experience with cloud platforms and modern software delivery practices, including CI/CD, automated testing, observability, and operational excellence.
Experience building developer tools, automation, or platform capabilities that improve engineering productivity and achieve broad internal adoption.
Experience with autonomous vehicles, robotics, simulation, validation, evaluation, or other safety-critical systems (preferred).

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