Senior ASIC Verification Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, AIIndustries

Requirements

B.SC./M.SC. in Computer Engineering/Electrical Engineering/Communication Engineering or equivalent experience
8+ years of proven experience in Design Verification
Proven, hands-on experience verifying sophisticated network switching ASICs, with deep knowledge of core switching logic and advanced buffering architectures
Demonstrated ability to own verification strategy and execution from the block-level through full-chip (SoC) integration
Sharp analytical and debugging skills with a track record of root-causing complex hardware, testbench, or software-driven issues
Excellent organizational and communication skills, with the ability to manage priorities and negotiate solutions across design, verification, and architecture teams

Responsibilities

Work in a combined design and verification team which develops core units within the Networking silicon
Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements
Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, FW and Post-Silicon validation
Lead the verification effort for core switching fabrics, packet buffering architectures, and traffic management subsystems, ensuring functional correctness and performance at scale

Skills

ASIC Verification

SystemVerilog

UVM

Reference Models

Simulation

Debugging

Networking ASICs

Switching Fabrics

Packet Buffering

Traffic Management

SoC Integration

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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