GPU Verification Engineer
NVIDIA
GPU Verification Engineer
NVIDIA
Designs the chips and software that power AI
We are now looking for a GPU Verification Engineer.
NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. This position offers the opportunity to have real impact in a progressive, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What You'll Be Doing:
As a member of the GPU verification team, you will be responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and SoCs using sophisticated verification methodologies.
You are encouraged to understand the design and its implementation, define the verification scope, develop the test plans and coordinate tasks within the GPU verification teams.
Design and develop test generators that will verify and validate the CPU and GPU interactions, memory coherency and consistency.
Develop the verification infrastructure using state of the art verification methodologies and tools.
Collaborate with architects, designers, pre- and post-silicon verification teams to accomplish your tasks.
What We Need to See:
A Bachelor's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or Computer Science
5+ years of meaningful work experience or a Bachelor's degree (or equivalent experience) in the same fields with 2+ years of equivalent experience.
Ability to program in C/C++ and automate/write scripts in Perl/Python/shell.
Your work displays a passion for debugging and highlights your strong problem solving abilities.
A strong background in computer architecture and memory models is needed.
Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus.
Strong communication and interpersonal skills are required along with the ability to operate in a dynamic and distributed team.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
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:You will also be eligible for equity and benefits.
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.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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