Nvidia Semiconductor Safety Engineer 

United States, Texas 

29417557

At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help develop the next generation of system on chip (SoC) products for autonomous driving. On our SoC development team, you will have a chance to create and work with some of the most exciting technologies in the world. You will have the opportunity to invent autonomous driving products using camera systems, RADAR, LIDAR, HD maps, path-planning, and vehicle dynamics functionalities. You will get to work with machine learning, computer vision, and robotics approaches. All of these technologies are fundamental to develop an end-to-end AI computing product for self-driving-cars.

What you’ll be doing:

You will be working closely with internal and partner safety engineering teams to deliver state-of-the-art products. Specific responsibilities of the Semiconductor Safety Engineer role include:

• Collaboration with architects and designers to find optimal implementations of safety diagnostics in hardware and software.

• Performing safety analysis and verification activities to confirm NVIDIA designs meet applicable performance targets, and aggressively work to improve products when issues are identified.

• Optimization, automation, and training of engineering standard methodologies to ensure speed of light execution.

• Provide support of third-party assessment of NVIDIA safety concepts and SoC implementations.

• Assist in creation of safety manuals, analysis reports, and user guides.

What we need to see:

• Bachelor’s degree in an engineering field or equivalent experience.

• At least 5+ years of meaningful experience in development and integration for automotive safety related semiconductors.

• You possess a deep understanding of functional safety development processes needed to follow the ISO 26262 functional safety standard.

• You have experience in conducting safety analyses on semiconductors with high degree of logic integration.

• Excellent analytical, written, and verbal communication skills.

• Willing to travel (up to 10% of the work time) is a necessity.

Ways to stand out from the crowd:

• Experience developing semiconductors for Advanced Driver Assistance Systems (ADAS) or autonomous driving

• Understanding of neural networks, GPUs, and related design concepts

• Relevant safety personnel certifications (e.g. CFSP, CFSE, or equivalent)

• A proven record of achieving semiconductor safety certifications from third party assessors such as TUEV SUED, exida, or equivalent