Senior Custom SOC IP Verification Engineer at NVIDIA

Shanghai, China

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

Requirements

  • Clear understanding of complexities involved with various design verification tools, including Synopsys VCS or Cadence Xcelium Simulator, Verdi, JasperGold or VC Formal
  • Track record of first-pass success in ASIC Development
  • B.S. or M.S. degree in Computer Engineering or Electrical Engineering
  • Experience working across multiple projects and adjusting priorities in partnership with stakeholders
  • 5+ years of experience owning processing ASIC, IP or SoC design verification
  • Experience managing and delivering complex mixed language UVM and C++ testbenches
  • Ability to interpret functional specs and creating comprehensive test plans
  • Ability to write directed and constraint random test to achieve coverage-driven verification closure
  • Strong programming skills in C++/SystemC. Familiar with the GDB debugging
  • Experience developing tools and infrastructure using Perl or Python
  • Ways to stand out (Preferred)
  • Hands-on experience with AMBA protocols such as AXI, ACE, CHI, etc
  • Hands-on experience with complex subsystems in new technologies like ARM CPU complex, LPDDR, HBM, GPU’s, UCIE, PCIE or Network on chip and with performance verification

Responsibilities

  • Responsible for ASIC design verification for various IPs at IP and SOC levels
  • Responsible for reference model development and integration
  • Participate in IP/SOC architecture, micro-architecture reviews, interface with Architecture, SW/FW, Design, and Modeling to work out comprehensive first-time right verification plans
  • Contribute to the innovative verification methodology development, functional and code coverage closure
  • Work on the complex TB creation, direct/random tests and drive the function and coverage to closure
  • Contribute to the development of silicon and platform verification strategy and methodology
  • Triage the fail on SOC level with SOCV/EMU/SW team
  • Collaborate with IP development teams, and participate in, and support soft and hard IP identification, selection, and IP licensing

Skills

UVM
C++
Synopsys VCS
Cadence Xcelium
Verdi
JasperGold
VC Formal
ASIC Verification
SOC Verification
Reference Model
Testbench
SystemVerilog

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.

Land your dream remote job 3x faster with AI