обновлено 10 дней назад
Staff Software Engineer, Simulation (Autonomous Vehicles)
160 200 - 246 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, Simulation (Autonomous Vehicles): Building large-scale simulation test infrastructure, evaluation pipelines, scenario libraries, and interactive dashboards for autonomous vehicle validation with an accent on reliability, safety, and data-driven evaluation. Focus on architecting production Python systems, quantifying simulation trustworthiness, integrating evaluation workflows into release decisions, and defining metrics for safety-critical products.
Location: Remote within the United States; employees living within a 50-mile radius of Sunnyvale or Mountain View must report to the office three times per week. Relocation to the Bay Area may be eligible for benefits.
Salary: $160,200–$246,300 annually, plus bonus potential.
Company
develops advanced driver assistance and autonomous vehicle technologies, including Super Cruise, at global scale.
What you will do
- Architect large-scale test infrastructure and evaluation pipelines for autonomous vehicle simulation and software validation.
- Lead cross-functional initiatives integrating simulation evaluation products into development workflows and release decisions.
- Develop methodologies to measure the trustworthiness and effectiveness of simulation tests at scale.
- Drive technical roadmaps and integrate simulation technologies aligned with autonomous vehicle goals.
- Own evaluation metrics and KPIs, analyze trade-offs, and communicate results through interactive dashboards.
- Set architectural standards and best practices through design reviews and code reviews.
Requirements
- 7+ years of applied experience developing complex evaluation, simulation, or test frameworks.
- Production Python development experience, including unit testing, code review, performance trade-offs, and reliability practices.
- Proven technical leadership across multiple teams and experience influencing architecture decisions.
- Strong written and verbal communication skills, including risk communication and stakeholder collaboration.
- Bachelor’s degree or higher in Computer Science, Engineering, or equivalent experience.
- Experience with autonomous driving, robotics, safety-critical validation, or large-scale simulation is valuable.
Nice to have
- Experience with SQL, time-series data analysis, performance monitoring, and dashboarding tools such as Looker or Streamlit.
- Data-driven investigation of anomalies and systematic root-cause analysis.
Culture & Benefits
- Medical, dental, vision, Health Savings Account, and Flexible Spending Account options.
- Retirement savings, paid vacation and holidays, sickness and accident benefits, and life insurance.
- Tuition assistance and employee assistance programs.
- Potential GM vehicle evaluation program after successful motor vehicle report review, subject to program requirements.
- Inclusive workplace focused on safety, meaningful change, and employee belonging.
Hiring process
- Role-related assessments and pre-employment screening may be required.
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