NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most innovative engineers and technologists. We are seeking system safety engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving systems. In this role, you will focus on applying V-Model methodologies to cross-disciplinary development across AI, computer vision, software architecture, planning and control, software / hardware interactions. You will be part of a team that covers the entire autonomous driving system and coordinates development teams across NVIDIA.
What you’ll be doing:
Work closely with diverse teams of engineers to derive functional and safety requirements from use cases and driving modes on the left side of the V-Model, and to integrate and validate requirements on the right.
Contribute to architecture decomposition and architecture validation, and will teach and mentor the development teams in requirements process, work flow and good requirements composition practices.
We will count on you to guide teams in system safety engineering methodologies for development and verification.
Apply your skills to help teams with requirements traceability, verification methodologies for safety, manage conflicting and changing requirements, and establish and manage projects in JAMA.
We will look to you to collaborate with other teams within NVIDIA on V-Model process improvements, and to support alignment to customer requirement management processes.
Applying MBSE development methods to safety and security functions.
What we need to see:
BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
8+ years of proven industry experience.
We are looking for technically strong engineers with a hands-on approach to systems engineering, candidates who enjoy teaching and helping teams.
Strong written and verbal communication skills. and engineers who thrive working in teams and across multiple domains.
Bring a keen eye reviewing existing processes and finding gaps to suggest improvements.
We seek engineers who bring experience in process definition, improvement, implementation, and roll-out.
Ways to stand out from the crowd:
We enjoy seeing strong backgrounds in these areas
Proven hands-on experience with state-of-the-art systems engineering methodologies – such as requirements management, peer review processes, configuration management, requirements management in an agile development environment, risk management, requirements verification and traceability, validation and verification, and architectural decomposition
Success applying the V-Model to complex engineering projects, ideally in all stages of the SW development life cycle
Hands-on experience in ADAS or autonomous vehicle systems as well as practical experience in applying Model Based System Engineering (MBSE)
System safety methodologies & practices (FMEA, FTA, STPA, CPA)
Safety standards (ISO 26262, IEC 61508, ISO 21448, ISO 8800)
With competitive salaries and generous benefits packages, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, our best-in-class teams are rapidly growing. If you're creative and passionate about safety and autonomous driving, we want to hear from you
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.