Verification Engineer - PCIE
NVIDIA is hiring a Verification Engineer - PCIE in Bengaluru, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
NVIDIA is seeking an elite Verification Engineer to verify the design and implementation of the next generation of PCI Express controllers 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:
Responsible for verification of the ASIC design, architecture, golden models and micro-architecture of PCIE controllers at IP/sub-system levels using state-of-the-art verification methodologies such as UVM.
Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
Expected to understand the design specification and implementation, define the verification scope, develop test plans, tests, and the verification infrastructure and verify the correctness of the design.
You will be collaborating with architects, designers, and pre and post silicon verification teams to accomplish your tasks.
What we need to see:
B.Tech./ M.Tech. with 2+ years of relevant experience
Experience in verification at Unit/Sub-system/SOC level using Verilog and SystemVerilog
Background with verification of IP or interconnect protocols (e.g. PCI Express, USB, SATA)
Experience in developing and working in functional coverage based constrained random verification environments
Experience in DV methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug
Ways to stand out from the crowd:
Excellent problem solving skills
Knowledge of PCIE protocol - Gen3 and above
Proficiency in Testbench development using SystemVerilog
Perl, Python or similar scripting and SW programming language experience
Good debugging and analytical skills
Good interpersonal skills & dream to work as a great teammate
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.
#LI-Hybrid
How we rate this
Verification Engineer - PCIE at NVIDIA rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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