Эта роль предлагает высокую зарплату и находится в передовой области автономного вождения, с четкими обязанностями и потенциалом для роста.
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Высокая зарплатаПередовой доменЧеткие обязанностиВозможности роста
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Systems Engineer (Robotics): Leading the design and assurance efforts for safety and fail-operational initiatives in autonomous driving systems with an accent on defining and refining safety metrics. Focus on collaborating with cross-functional teams to optimize complex systems and ensure mission assurance.
Location: Foster City, California, United States; hybrid workplace
Base salary: $349,000–$419,000 per year, excluding equity, sign-on bonus, and other compensation components.
Company
Zoox is developing a fully autonomous vehicle fleet and the supporting mobility ecosystem for urban robotaxi services.
What you will do
Define and refine systems engineering strategy and architecture for safety and fail-operational initiatives.
Lead the development and evolution of metrics measuring the robotaxi’s ability to safely complete customer journeys.
Review and approve mission assurance clearance documents.
Present complex metrics, data analyses, and actionable insights to stakeholders and senior executives.
Coach and mentor systems engineers while leading cross-functional technical programs.
Requirements
Master’s degree or higher in engineering, computer science, or a related field.
At least 10 years of relevant experience in systems engineering, data analysis, performance tracking, or risk quantification for complex systems.
Experience defining, implementing, and managing quantitative metrics and data-driven approaches for complex software or hardware systems.
Proficiency in statistics and probability.
Hands-on experience with complex software systems, preferably in robotics, autonomous driving, or aerospace.
Strong written and in-person communication skills, with the ability to influence stakeholders, drive consensus, and present complex data to senior audiences.
Nice to have
Ph.D. in engineering, computer science, or a related field.
Experience with large, safety-critical systems, automotive systems, autonomous driving, or robotics.
Familiarity with ISO 26262, ISO 21448, MIL-STD-882, or similar safety standards.
Culture & Benefits
Transparent and respectful culture with opportunities for career growth.
Paid and unpaid time off, including sick leave, vacation, and bereavement leave.
Health, long-term care, disability, and life insurance.
Amazon restricted stock units and Zoox stock appreciation rights.
A sign-on bonus may be available.
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