Duties & Responsibilities
- Develop test strategies and plans for a highly complex autonomous vehicle
- Support the strategic development of testing at all levels, including component, Hardware-In-the-Loop (HIL), 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.
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