Staff Software Engineer, Simulation

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.

What Will Give You a Competitive Edge (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 Mountain View 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.