Job description

NVIDIA – “the AI computing company” is developing a ground-breaking AI-based full stack for autonomous transportation and base platform to support it. This requires a ground-breaking approach to functional safety in the underlying HALOs platform, including scheduling and management of synchronization and diverse HW compute engines, full platform error reporting and degradation, system state management and fail-operational features. We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving platforms. The focus is on functional safety of the underlying compute and communications platform on which NVIDIA's autonomous products are built. Do you have a desire to work at the confluence of NVIDIA's application stack and the OEM vehicle platforms? Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with all of our customers! What you'll be doing: • The increased use of AI and the underlying compute HW used represent a challenge to analyze and demonstrate HW fault metric compliance, we will look to you to propose new methods and refine existing practices. • You will carry out analysis using classical approaches such as fault trees used alongside model-based techniques to derive application and system-level diagnostic measures on top of existing HW measures. • Development of automation to support the analysis of complex multi-layered systems will be required. • Analysis and interpretation of internal and external safety documentation to identify improvements which can be helpful to meet ever more challenging safety targets. • Ensure the integration of the System, Software and Hardware safety analysis methodologies to demonstrate the final system meets overall HW safety metrics. What we need to see: • BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience • 12+ years of experience in systems architecture or related fields. • Experience working across company boundaries as development partners. • We seek technically strong engineers who bring experience in safety analysis of embedded systems at the Hardware and Software Level and can find the right level of abstraction adapted to the tasks in hand. Ways to Stand out from the crowd: • Proven competence in performing safety analysis using qualitative and quantitative methods (e.g FTA, FMEA and FMEDAs) • Background in HW SOC and/or board level architecture, Automotive ECU architecture is especially valued. • Demonstrable competence in tools and automation focused on safety analysis. • Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448) • Experience in the evaluation of fault metrics through the combination of built-in HW measures and application coverage. #AutonomousVehicles Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 3, 2026. 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.

Requirements

Must-haves

The increased use of AI and the underlying compute HW used represent a challenge to analyze and demonstrate HW fault metric compliance, we will look to you to propose new methods and refine existing practices.
You will carry out analysis using classical approaches such as fault trees used alongside model-based techniques to derive application and system-level diagnostic measures on top of existing HW measures.
Development of automation to support the analysis of complex multi-layered systems will be required.
Analysis and interpretation of internal and external safety documentation to identify improvements which can be helpful to meet ever more challenging safety targets.
Ensure the integration of the System, Software and Hardware safety analysis methodologies to demonstrate the final system meets overall HW safety metrics.
BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
12+ years of experience in systems architecture or related fields.
Experience working across company boundaries as development partners.
We seek technically strong engineers who bring experience in safety analysis of embedded systems at the Hardware and Software Level and can find the right level of abstraction adapted to the tasks in hand.
Proven competence in performing safety analysis using qualitative and quantitative methods (e.g FTA, FMEA and FMEDAs)
Background in HW SOC and/or board level architecture, Automotive ECU architecture is especially valued.
Demonstrable competence in tools and automation focused on safety analysis.
Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448)
Experience in the evaluation of fault metrics through the combination of built-in HW measures and application coverage.
#AutonomousVehicles
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium