Senior Design Verification Engineer - PCIE at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, AutomotiveIndustries

Requirements

Bachelors or Masters degree with 5+ years of experience in Unit/Sub-system/SOC level verification
Proficiency in SystemVerilog
Expertise in comprehensive verification of industry standard IP or interconnect protocols (e.g. PCI Express, CXL, UCIe, USB, SATA)
Experience in developing and working in functional coverage based constrained random verification environments
Skillful in verification methodologies like UVM, Specman/e, as well as re-usable testbench architecture and its development
Exposure to industry standard verification tools for simulation and debug
Ways to stand out
Familiarity with both UVM and Specman/e based verification methodologies
Good knowledge of PCIE protocol - Gen3 and above
Great debugging and analytical skills
Excellent interpersonal skills & dream to work as a great teammate

Responsibilities

Verification of the ASIC design, architecture, and micro-architecture of PCIE controllers for multiple product generations for GPUs, SOCs & DPUs at IP/sub-system levels using standard verification methodologies such as UVM and Specman/e
Develop UVM or Specman/e based testbench components reusable across verification methodologies and integrate those across verification environments
Build or improve reusable testbench components including constraints, stimulus, monitors, checkers and scoreboards following coverage based verification methodology
Understand complex testbench and its verification scope with respect to the design specification and implementation, define new verification scope as per design or verification methodology requirements, develop test plans, tests, and the verification infrastructure and verify the correctness of the design
Collaborate with multiple verification teams, architects, designers, and pre and post silicon verification teams to accomplish your tasks

Skills

UVM

Specman

PCIe

ASIC Verification

Testbench Development

Scoreboards

Checkers

Constraints

Stimulus

Monitors

Coverage Driven Verification

GPU

SOC

DPU

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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