NVIDIA is looking to expand its autonomous vehicle solution by developing and productizing ground-breaking perception solutions that will redefine the world of transportation and the growing field of self-driving cars.
Requirements
- Software development experience and strong coding skills
- Expert in Systems Engineering principles and various product life-cycles
- Proven understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA)
- Experience with autonomous vehicles and/or machine learning, computer vision
- Experience working with large datasets, data science, analytics
- Software engineering experience and proficiency with SQL and Python or C++
- Strong coding skills
Responsibilities
- Develop perception, mapping and localization system requirements from use cases and customer requirements
- Perform analysis to define performance requirements and allocate performance budgets
- Formulate test cases and critical metrics to ensure compliance with requirements
- Develop analysis and test evaluation tools and dashboards
- Work closely with hardware engineering, safety, developers and product teams to ensure we build the right product
- Find innovative solutions to constantly improve our processes for both requirements decomposition, traceability and verification
- Establish relationships with all relevant partners across the organization
Other
- MS, or PhD in Engineering, Physics, Computer Science, or another related field (or equivalent experience)
- 8+ years systems engineering experience on complex systems, systems analysis (e.g. error budget creation, modeling of scenarios), data analysis, and statistical analysis
- Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations
- Ability to drive alignment across large organizations
- Ability to work in a diverse, supportive environment
