Define and manage sensor hardware safety requirements, including requirements for sensor power, interfaces, timing, synchronization, data integrity, fault detection, and fault response.
Collaborate with sensor architects, board and system designers, software teams, and validation engineers to develop effective implementations of sensor safety requirements.
Perform and review safety cases & analyses, including FMEA, FMEDA, DFA, and FTA, and use the results to guide architecture decisions and design improvements.
Work with third-party suppliers to evaluate safety manuals, analysis reports, assumptions of use, and supporting evidence for sensor integration.
Develop clear safety documentation, integration guidance, analysis reports, and user-facing safety information for internal teams and customers.
What we need to see
Bachelor's degree in electrical engineering, computer engineering, computer science, or a related engineering field, or equivalent experience.
8+ years of relevant experience in automotive sensors, hardware systems, functional safety, or a related field.
Understanding of automotive sensor technologies such as cameras, radar, LiDAR, or IMUs, including their hardware architectures and system interfaces.
Knowledge of safety analysis methodologies, including FMEA, FMEDA, DFA, and FTA.
Ability to work effectively with sensor suppliers and multidisciplinary engineering teams from concept through integration and verification.
Proven ownership and proactivity, with a strong bias for action and results.
Excellent analytical, written, and verbal communication skills.
Ways to stand out from the crowd
Experience developing automotive sensor systems or evaluating sensor safety concepts and architectures.
Understanding of functional-safety development processes required for ISO 26262 or other relevant industry standards such as IEC 61508 and ISO 13849.
Experience defining or verifying safety mechanisms, and writing requirements, for safety-critical sensor hardware and systems.
Experience in PCB or ECU design and embedded systems based on NVIDIA SoCs.
Background in system modeling using SysML and developing structured user documentation such as DITA.
NVIDIA empowers automakers, developers, manufacturers, researchers, and startups to build and deploy physical AI systems. Its unified AI computing architecture enables training advanced AI models on NVIDIA accelerated computing platforms and deploying them into safety-critical systems, with software updates that add and improve capabilities throughout the product lifecycle.
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- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 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.
Applications for this job will be accepted at least until November 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.
