Posted:
8/23/2024, 3:07:21 PM
Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India
Experience Level(s):
Junior
Field(s):
IT & Security
NVIDIA is seeking IP Verification Engineer to verify the design and implementation of the next generation of memory subsystem units for the world’s leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, 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. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science.
The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”
What you’ll be doing:
Build test plans, tests and verification infrastructure for complex IPs/sub-systems
Craft verification environment using UVM methodology
Build reusable bus functional models, monitors, checkers and scoreboards
Drive functional coverage driven verification closure
Work with architects, designers and post-silicon teams
What we need to see:
BS / MS with 2+ years of experience
Experience in verification closure of complex IP/sub-system for at least one project
Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
Expertise in Verilog
Background in SystemVerilog or similar HVL
Background in methodologies like UVM/VMM
Exposure to industry standard verification tools for simulation and debug
Ways to stand out from the crowd:
Experience in memory subsystem or network interconnect IP verification
Good debugging and problem solving skills
Scripting knowledge (Python/Perl/shell)
Good communication skills and ability & desire to work as a part of a team
With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality