Semiconductor Safety Engineer – New College Grad 2023

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.

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, inventing autonomous driving products using camera systems, RADAR, LIDAR, HD maps, path-planning, and vehicle dynamics functionalities. You will get to work on technologies that support 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 innovative products. Specific responsibilities of the role include:

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

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

• Work on the optimization, automation, and training of engineering teams and development of 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 or higher in an engineering field (e.g. computer science, electrical engineering, electronic systems engineering, aerospace engineering) or equivalent experience

• Semiconductor architecture understanding

• Understanding of functional safety development processes needed to follow the ISO 26262 functional safety standard

Ways to stand out from the crowd:

• Python scripting or other languages for data analysis/automation

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

• Semiconductor design, systems engineering, or structured documentation (e.g. DITA, DocBook) experience

NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence (AI) systems for self-driving vehicles. NVIDIA’s unified AI computing architecture enables training deep neural networks in the data center on the NVIDIA DGX-1™, and then seamlessly runs them on NVIDIA DRIVE AGX inside the vehicle. This end-to-end approach uses NVIDIA DriveWorks software and allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle.

The base salary range is $100,000 - $224,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.NVIDIA is committed to fostering a diverse 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.