Staff Software Engineer, Simulation Evaluation

General Motors; Sunnyvale (CA); On-site; USD 157,100 - 246,500; Full time

Benefits offered by this job

Health benefits

GM vehicle discounts

Tuition assistance

Paid vacation & holidays

Job summary

General Motors is seeking an experienced leader to advance evaluation platforms for autonomous driving. You will architect large-scale evaluation pipelines, partner with Autonomy, Systems, Simulation, and Data teams, and shape the roadmap for simulation-based testing at GM.

You will own metrics and KPIs, present insights to stakeholders, and ensure quality through architecture reviews and code reviews. The role blends research rigor with production-grade Python, cross‑functional influence, and a

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.

Responsibilities

• Architect large-scale evaluation pipelines that quantify the accuracy and reliability 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 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 testing and evaluation products at scale.
• Drivetechnical 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.

Skills

Python

Cross-functional leadership

Strong communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

SQL

Looker

Streamlit

Job description

The Role:

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

About the Organization:

The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end‑to‑end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first‑class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system‑level results into clear feedback, and help accelerate validated AV deployment at scale.

WhatYou’llDo:

• Architectlarge-scaleevaluationpipelinesthat quantify the accuracy and reliability 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 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 testing andevaluationproductsat scale.
• Drivetechnical 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.

What You Must Have:

• 7+ years ofappliedexperiencedeveloping 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 verbalcommunication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders.
• Bachelor’s or higher degreein Computer Science, Engineering, or equivalent experience.

What Will Give You a Competitive Edge:

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

“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.”

Compensation:

• The expected base compensation for this role is: $157,100 - $246,500. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  

Benefits:

• 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.