Design Verification Engineer - PCIE

Sorry, this job was removed at 02:52 p.m. (CST) on Thursday, Jan 30, 2025
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The 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 and expertise in Verilog and SystemVerilog

  • Expertise in comprehensive verification of IP or interconnect protocols (e.g. PCI Express, USB, SATA)

  • Background 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 knowledge of PCIE protocol - Gen3 and above

  • Good understanding of the system level architecture of PCIE/CXL-based designs

  • 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.

Similar Jobs

CrowdStrike Logo CrowdStrike

Senior Software Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
16 Locations
10000 Employees

CrowdStrike Logo CrowdStrike

Senior Software Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
KA, IND
10000 Employees

PayPal Logo PayPal

Manager, Data Science

Fintech • Payments
In-Office or Remote
2 Locations
34450 Employees

Kong Logo Kong

Engineering Manager

Artificial Intelligence • Cloud • Information Technology • Software • Big Data Analytics
In-Office
2 Locations
800 Employees
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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.”

Similar Companies Hiring

Granted Thumbnail
Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account