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NVIDIA

GPU Core Pipeline IP Verification Engineer

NVIDIA is hiring a GPU Core Pipeline IP Verification Engineer in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Verilog, C and Vcs.
  • Level classifies it as a mid-level role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Verify the design and implementation of GPU control subsystems and AI-focused computing platforms.

verilogcvcsgdb
asic-verificationip-verificationcomputer-architecturedebugging

NVIDIA is seeking a highly enthusiastic and motivated Verification Engineer to verify the design and implementation of the next generation of control subsystems for the world’s leading GPUs. 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 are 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:

  • As a key member of our ASIC Verification team, you will contribute to verifying graphics and compute features within an IP.

  • You will be responsible for IP-level verification of GPU ASICs, including the design, architecture, golden models, and micro-architecture, using advanced verification tools and methodologies.

  • You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify.

  • You are expected to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

  • Work with HW architects and designers to make the right implementation choices.

  • You will be working with architects, designers, and other members of your verification teams to accomplish your tasks.

What we need to see:

  • B.Tech./ M.Tech. with 1+ years of relevant experience

  • Familiarity with Verilog, C++ and OOPs concepts.

  • Hands-on experience in verification at Unit/Sub-system/SOC level.

  • Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

  • Good understanding of computer architecture concepts.

  • Strong technical fundamentals with superior analytical skills and problem-solving skills

  • Knowledge in SystemVerilog or similar HVL, experience in verification methodologies like UVM/VMM is highly desirable

  • Exposure to industry standard verification tools for simulation and debug

Ways to stand out from the crowd:

  • Prior experience in 3D graphics processing, processor verification.

  • C/C++ programming language experience

  • Experience in scripting and tool development using Perl and Python

  • Excellent debugging skills

  • Good interpersonal & communication 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.

#LI-Hybrid

How we rate this

GPU Core Pipeline IP Verification Engineer at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Asic VerificationIp VerificationComputer ArchitectureDebuggingVerilogCVcsGdb

Questions you could be asked

  1. Tell me about a project where asic verification was part of your work. What did you do?
  2. Tell me about a project where ip verification was part of your work. What did you do?
  3. Tell me about a project where computer architecture was part of your work. What did you do?
  4. Tell me about a project where debugging was part of your work. What did you do?
  5. Walk me through how you've used Verilog in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Asic Verification, Ip Verification, Computer Architecture, Debugging, and Verilog. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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