Staff Software Engineer – Simulation Platform

General Motors

. Define and evolve the technical vision, architecture, and multi-year roadmap for Galileo and related simulation-platform capabilities .

Posted 10/6/2026full-timeSunnyvale • California • United StatesLead💰 $185,100 - $284,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing distributed systems and service-oriented architectures, with a strong focus on cloud-based infrastructure and data-intensive applications. Proven ability to lead cross-functional teams, mentor engineers, and drive engineering excellence through best practices in software development and operational ownership.

Highest-signal resume keywords

Distributed Systems DesignCloud Platforms ExperienceProduction Programming in PythonCross-Team Technical LeadershipCI/CD and Automated Testing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Distributed SystemsService-Oriented ArchitectureMicroservice ArchitectureData-Intensive ApplicationsProduction ProgrammingPythonGoC++JavaTypeScript

Soft Skills

Strong Communication SkillsTechnical MentorshipProblem-SolvingStakeholder InfluenceIndependent Work

Tools & Technologies

Cloud-Based InfrastructureCI/CD ToolsObservability ToolsPostgreSQLBigQueryDuckDBAmazon RedshiftROSStreamlitLooker

Industry Keywords

SimulationRoboticsAutonomous VehiclesSafety-Critical SystemsValidationEvaluationTest FrameworksContinuous Evaluation PipelinesData ProcessingQuantitative Analysis

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudDistributed SystemsJavaPostgresPythonTypeScriptC++Go

About the role

Key responsibilities & impact

Define and evolve the technical vision, architecture, and multi-year roadmap for Galileo and related simulation-platform capabilities
Design and implement highly scalable systems capable of orchestrating and analyzing millions of simulation miles and large volumes of test results
Lead cross-functional initiatives integrating simulation, evaluation, data, and developer tooling into engineering and release workflows
Build platform capabilities for test creation, test-suite management, execution orchestration, result storage, data processing, visualization, and quantitative analysis
Establish architectural patterns for distributed systems, service interfaces, data-intensive workflows, and cloud-based infrastructure
Identify and resolve bottlenecks in performance, reliability, cost, usability, and operational scalability
Drive engineering excellence through design reviews, code reviews, automated testing, continuous integration, observability, incident learning, and operational ownership
Clarify technical tradeoffs for stakeholders, communicate risks and dependencies, and drive decisions across organizational boundaries
Mentor engineers through technical guidance, reusable patterns, documentation, and constructive feedback
Partner with product and engineering leaders to translate customer needs into technical strategies and deliverables
Help define and embody GM engineering culture and principles

Requirements

What you’ll need

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, TypeScript, or a similar language
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
Strong written and verbal communication skills, including the ability to explain technical decisions, communicate risk, and influence diverse stakeholders
Demonstrated ability to work independently through ambiguity, prioritize high-leverage work, and deliver results across organizational boundaries
Competitive edge: experience with autonomous vehicles, robotics, simulation, validation, evaluation, or other safety-critical or high-stakes systems
Competitive edge: experience designing, running, and interpreting large-scale simulation or field experiments
Competitive edge: experience with test frameworks, scenario libraries, metrics systems, release gating, or continuous evaluation pipelines
Competitive edge: experience with PostgreSQL or similar relational databases and analytical technologies such as BigQuery, DuckDB, or Amazon Redshift
Competitive edge: familiarity with dbt, Dataform, or SQLMesh
Competitive edge: experience with ROS, Python/C++ interoperability, or visualization and dashboarding tools such as Streamlit or Looker
Competitive edge: experience optimizing systems under significant latency, throughput, reliability, or cost constraints
Competitive edge: experience developing safety-critical software or applying rigorous validation and risk-management practices
Competitive edge: track record of creating reusable frameworks, libraries, or platform abstractions

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Company vehicle evaluation program, subject to successful motor vehicle report review
Potential relocation benefits