Senior Verification Engineer, Memory Subsystem at NVIDIA

Bengaluru, Karnataka, India

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

Requirements

  • B.Tech./M.Tech. with 4+ years of relevant experience
  • Experience in verification of complex IPs/units and sub-systems
  • Verification experience using random stimulus along with functional coverage and assertion-based verification methodologies
  • Expertise in Verilog
  • Knowledge in SystemVerilog or similar HVL
  • Familiarity with verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug
  • Ways to stand out
  • Experience in memory subsystem or network interconnect IP verification
  • Good debugging and analytical skills
  • Scripting knowledge (Python/Perl/shell)
  • Good communication skills & dream to work as a great teammate

Responsibilities

  • Verifying the ASIC design, architecture and micro-architecture using advanced verification methodologies
  • Understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design
  • Come up with test plans, tests and verification infrastructure for complex IPs/sub-systems
  • Responsible for performance and deadlock verification of the GPU memory subsystem unit
  • Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology
  • Perform functional coverage driven verification closure
  • Working with architects, designers, and pre and post silicon verification teams to accomplish your tasks

Skills

ASIC verification
SystemVerilog
UVM
Verilog
functional coverage
assertion-based verification
random stimulus
coverage driven verification
bus functional models
scoreboards
monitors
checkers

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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