ASIC Verification Engineer at NVIDIA

Bengaluru, Karnataka, India

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Graphics Processing, AIIndustries

Requirements

  • BS / MS or equivalent experience
  • 2+ years of design experience
  • Experience in ASIC verification of complex design units for at least one or two projects
  • Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
  • Exposure to System Verilog and UVM based methodology for ASIC verification is highly desired
  • Ways to stand out
  • Knowledge of Memory controllers or prior experience with verification of IP/clusters involving access to Memory
  • Good debugging and problem solving skills
  • Scripting knowledge (Python/Perl/shell)
  • Good interpersonal skills and ability & desire to work as a part of a team

Responsibilities

  • Own ASIC verification of IP/Cluster for complicated designs in RTL
  • Work with HW architects and designers to make the right implementation choices
  • Interact with the Performance verification teams to augment verification through dynamic simulations and/or Formal verification techniques
  • Work with the specifications and ensure functional and code coverage of all the RTL which you will verify
  • Partner with and enable FPGA and S/W teams to ensure that S/W is tested
  • Be involved with post-silicon verification and debug
  • Plan and implement IP/Cluster/SOC functional verification of designs that constitute our Graphics Processors and Tegra SOCs
  • Create regression plans for code as well as functional coverage closure
  • Perform pre-silicon validation activities such as XPROP simulations and GLS

Skills

ASIC Verification
RTL
VCS
Simulation
Functional Coverage
Code Coverage
XPROP
GLS
Formal Verification
Pre-silicon Validation
Post-silicon Verification
Debug

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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