Senior Systems Safety Engineer - Autonomous Vehicles

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.

Responsibilities:

• 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

Requirements:

• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
• 8+ years of proven industry experience
• Technically strong engineers with a hands-on approach to systems engineering
• Strong written and verbal communication skills
• Ability to work in teams and across multiple domains
• Experience in process definition, improvement, implementation, and roll-out
• 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)