Senior Verification Engineer - Hardware

Posted 18 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement UVM-based verification environments and testbenches for complex IPs and subsystems, define test plans, build reusable BFMs/monitors/checkers/scoreboards, implement functional coverage and verification closure, and collaborate with architects, designers, FPGA and post-silicon teams.
Summary Generated by Built In

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team. NVIDIA is now driving innovation at the intersection of visual processing, high performance computing, and artificial intelligence.

NVIDIA has been providing complete graphics support for navigation and instrument clusters for Automotive industry. It’s an exciting time for the auto industry, as the car is becoming a connected autonomous system. NVIDIA is at the forefront, providing high-end to mid-level performance solutions for these important changes in automotive industry. We are now looking for passionate, highly motivated and creative individuals to be part of our automotive verification team. As a verification owner, you will work on projects that will define the next generation of automotive chips and systems. You will get firsthand exposure to high performance CPU and Memory sub-systems, NOC based Interconnect Fabric, High speed IO's and many other leading technologies deployed in our Tegra chips.

What you'll be doing:

  • Be responsible for creation of "state of the art" UVM based verification test benches and methodologies to verify complex IP's and Sub-systems.

  • You will also get to work on System level verification using C/C++.

  • During the course of a project you would end up driving the following aspects of verification for your unit:

  • Architect the testbenches and craft verification environment using UVM methodology

  • Define test plans, tests and verification infrastructure for modules, clusters and system

  • Build efficient and reusable bus functional models, monitors, checkers and scoreboards

  • Implement functional coverage and own verification closure

  • Work with architects, designers, FPGA and post-silicon teams to ensure that your unit is robust

What we need to see:

  • BTech/MTech with 4+ years of experience in verification closure of complex Unit, Sub-system or SOC level verification.

  • If you have experience in at least a few of the following domains, we will have an excellent match for our needs:

  • CPU verification, Memory controller verification, Interconnect verification

  • High Speed IO verification (UFS/PCIE/XUSB)

  • 10G/1G Ethernet MAC and Switch

  • Bus protocols (AXI/APB)

  • System functions like Safety, Security, Virtualization and sensor processing

  • Experience in the latest verification methodologies like UVM/VMM

  • Exposure to industry standard verification tools for simulation and debug is a requirement

  • Exposure to Formal verification would be excellent

  • Good debugging and analytical skills with great interpersonal skills, ability to work as an excellent teammate

  • Excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine real passion for technology, we want to hear from you.

#LI-Hybrid

Top Skills

Uvm,Vmm,C,C++,Axi,Apb,Pcie,Ufs,Xusb,10G Ethernet,1G Ethernet,Noc,Memory Controller,Fpga,Formal Verification
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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.”

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