Staff Software Engineer, Simulation

General Motors; Deutschland; Vor Ort; EUR 136.759 - 210.261; Vollzeit

Benefits dieser Stelle

Health and wellbeing benefits

Tuition assistance programs

GM vehicle discounts

Zusammenfassung

General Motors is looking for an experienced professional to architect and lead large-scale simulation testing for autonomous vehicles. You will collaborate with cross-functional teams to develop and refine test infrastructures, ensuring the accuracy and reliability of innovative vehicle technology.

The ideal candidate will have over 7 years of experience in simulation frameworks and a strong proficiency in Python. A bachelor's degree in Computer Science or Engineering is required, and the role offers flexibility with remote working options.

Qualifikationen

• 7+ years of experience in evaluation, simulation, or test frameworks.
• Proficient in Python for production systems with unit testing.
• Experience with test strategies for safety-critical products.

Aufgaben

• Architect large-scale test infrastructure for simulation validation.
• Lead initiatives to integrate test operations into development workflows.
• Drive technical roadmaps and partner with teams to align on goals.

Kenntnisse

Python development

Cross-team technical leadership

Strong written and verbal communication

Ausbildung

Bachelor's degree in Computer Science or Engineering

Tools

SQL

Performance monitoring tools

Jobbeschreibung

Job Description

General Motors is a global leader in advanced driver assistance with Super Cruise hands‑free technology in more than 500,000 vehicles and over 700 million hands‑free miles driven. GM is proving that automation can be trusted, intuitive, and helpful. With a global reach, GM brings cutting‑edge advances to everyday drivers on an unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.

About the Organization

The Simulation team, part of the Autonomous Vehicle organization, develops and advances the simulation ecosystem that enables the growth and maturity of GM’s autonomous driving technology. We create scalable tools, workflows, and analysis capabilities that enable data‑driven decisions across AV development, testing, and validation. Partnering with Autonomy, Systems, Safety, and other cross‑functional teams, we provide the simulation foundation needed to assess system behavior, improve development velocity, and support end‑to‑end AV quality. We own large‑scale scenario libraries, test and evaluation pipelines, and core infrastructure that support virtual testing, data analysis, model development, and validation within a unified framework.

What You’ll Do

• Architect large‑scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation.
• Lead cross‑functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team‑owned test operations and evaluation products into regular development workflows and release decision processes.
• Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation test and evaluation products at scale.
• Drive technical roadmaps and strategic priorities while partnering cross‑functionally to integrate new simulation technologies aligned with AV goals.
• Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.
• Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team.

Your Skills and Abilities (Required Qualifications)

• 7+ years of applied experience developing complex evaluation, simulation, or test frameworks.
• Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
• Proven cross‑team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.
• Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.
• Bachelor’s or higher degree in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications

• Experience in autonomous driving or high‑stakes field robotics; designing, running, and interpreting large‑scale simulation and field experiments.
• Experience working on test strategies and validation for safety‑critical products.
• A strong, data‑driven curiosity to investigate anomalies and systematically root‑cause discrepancies.
• Familiarity with SQL, time‑series data analysis, performance monitoring tools and dashboarding systems (e.g., Looker, Streamlit).

Hybrid/Remote

This role can be based remotely but if you live within a 50‑mile radius of Sunnyvale or MountainView you are expected to report to that location three times per week.

*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.

Compensation

The salary range for this role is $160,200 – $246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Non‑Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1‑800‑865‑7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.