Principal Test Engineer, Vehicle

Duties & Responsibilities 

• Develop test strategies and plans for a highly complex autonomous vehicle
• Support the strategic development of testing at all levels, including component, Vehicle, Simulation, etc.
• Design tests that effectively verify system requirements, analyze and report test results
• Effectively communicate test strategies and capabilities to organizational leadership and customers
• Mentor and coach team members to grow their technical skills and personal attributes, provide direction for their day to day activities
• Support the requirements generation process
• Embody a "Safety Steward" mindset - hold the company and all co-workers accountable for safety in development, test, and in the finished system, and proactively propose safety improvements

Qualifications 

• 7+ years’ experience leading system test initiatives in an innovative product development environment
• Knowledge of safety standards and their application to system requirements and testing (especially: ISO 21448/SOTIF)
• Experience testing autonomous vehicles or robotic systems (ideally self-driving in some form)
• Extensive experience with the system development life cycle, modern software/hardware/system testing methods, and continuous integration
• Experience leading project teams
• Excellent written and verbal communication skills

Ideal Qualifications 

• Experience testing autonomous vehicles or ADAS features
• Experience with vehicle testing methods and equipment
• High level understanding of machine learning techniques
• High level understanding of perception and localization algorithms used in robotics and AV applications
• IBM ELM / DOORS experienceExperience with JIRA and Confluence
• Familiarity with common tools for data analysis e.g. Python, SQL, etc.
• Knowledge of ISO 26262

Compensation & Benefits

• Salary: $150,000 - $300,000
• Equity: Significant equity package commensurate on experience and skills
• Benefits: Full health benefits
• Hybrid position, up to managers discretion and workload
• Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor.