Senior System Verification Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, TechnologyIndustries

Requirements

  • M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field with 8+ years of proven experience
  • Proficient in Verilog and/or VHDL, C/C++ and SystemVerilog
  • Protocol knowledge of at least one of the High-speed interfaces: PCIe/CXL/NVLINK/IB/Ethernet etc
  • Knowledge of Low-speed protocols like I2C/I3C/SPI/UART and BMC interaction in server platforms
  • Working Knowledge of CPU - GPU coherency
  • Experience with UVM verification environments and scripting with Perl, Python and C/C++ is essential
  • Familiar with hierarchical design approach, top-down design, SoC and system level verification
  • Zebu emulation experience with SOC/CPU

Responsibilities

  • Support multiple emulation environments using the latest emulation techniques (C/C++ DPI Transactors, SV assertions, Coverage, Power Estimation, SpeedBridges, Accelerated UVM Testbenches)
  • Bring up GPUs, SOCs, Switch, NIC on emulation, root causing system level test fails and emulator environment issues
  • Bring-up and verify High Speed protocols like PCIe/CXL/NVLINK/IB/Ethernet etc. Low speed protocols like I2C/I3C/SPI/UART
  • Bring-up/debug issues related to CPU and GPU Coherency
  • Continual collaboration with Design, DV, Power, Silicon Validation, Performance, and Software teams
  • Work constructively leading emulation vendors to debug issues using various tools
  • Write monitors and checkers that aid debug in HW test issues and FW/SW bring-up

Skills

Verilog
VHDL
C/C++
SystemVerilog
SV assertions
UVM Testbenches
PCIe
CXL
NVLINK
IB
Ethernet
I2C
I3C
SPI
UART
CPU GPU Coherency
Emulation

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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