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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people.
Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking enthusiastic, driven, and imaginative individuals to join our automotive verification group. As the owner of Audio or Auxiliary CPU Sub-Systems unit, cluster and SOC level verification, you will contribute to projects crafting the future of automotive chips and systems. You will gain direct experience of an SOC working with high-performance CPU, memory sub-systems, NOC-based interconnect fabric, high-speed I/Os, and various advanced technologies used in our Tegra chips.
You will develop UVM-based verification test benches and methodologies for unit level, write verification components and API's for cluster and system level test benches. These will verify dedicated CPU sub-systems targeted for Audio processing, Functional Safety, RAS, BOOT and power management.
During the course of a project, you will drive the following aspects of verification for your unit:
Architect the testbenches and craft verification environment using SV, UVM and C/C++ methodology
Define test plans, tests and verification infrastructure for clusters and systems
Build efficient and reusable bus functional models, monitors, checkers, scoreboards, API's and encapsulated components
Implement functional coverage and own unit, cluster and SOC level verification closure
Work with architects, designers, FPGA, and post-silicon teams to ensure that your unit is robust and feed back and bug escapes driven improvements to your setup
BTech or MTech in ECE, EE, CSE, or an equivalent degree is required. Candidates should have over 5 years of experience in verification closure of complex units, sub-systems, or SOC level verification.
Proven experience in RISCV, ARM or DSP core based CPU sub-systems.
Experience in the latest verification methodologies like SV and UVM
Good debugging and analytical skills with exposure to industry-standard verification tools for simulation and debug
Good interpersonal skills, ability to work as a diligent teammate, and excellent communication skills to collaborate with cross-cultural global teams and work in a matrix organization
Exposure on using AI (like Claude and Cursor) extensively for code development would be a big plus
A mentality towards constant improvement and looking to build a multiplier effect through your work and automation
Exposure to Formal verification would be excellent
An exposure to Audio functions, safety and reliability features and BOOT, power management features experience could serve as a differentiator
We have some of the most experienced and dedicated people in the world working at NVIDIA. If you're creative and independent, with a genuine passion for adopting the newest technology, we want to hear from you. Join us and be part of something outstanding!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
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NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as "the AI computing company.
Job ID: 145890807