Senior Verification Engineer - Hardware at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

M.S. or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering, or related field
3+ years of proven experience
Proficiency in Verilog and/or VHDL, C/C++, and SystemVerilog
Experience with UVM verification environments and scripting with Perl, Python, and C/C++
Familiarity with hierarchical design approach, top-down design, SoC, and system level verification
Ability to work on-site at Santa Clara, CA location

Responsibilities

Support multiple emulation environments using the latest emulation techniques (C/C++ DPI Transactors, SV assertions, Coverage, Power Estimation, SpeedBridges, Accelerated UVM Testbenches)
Bring up SOCs on emulation and root cause SoC/Processor test fails and emulator environment issues
Collaborate continually with Design, DV, Power, Silicon Validation, Performance, and Software teams
Work constructively leading emulation vendors to debug issues using various tools

Skills

Key technologies and capabilities for this role

VerilogVHDLSystemVerilogC/C++UVMPerlPythonSV assertionsCoveragePower EstimationSpeedBridgesEmulationSoC verification

Questions & Answers

Common questions about this position

What is the salary range for this Senior Verification Engineer position?

The base salary range is 136,000 USD - 310,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or on-site?

Candidates will be working on-site at our Santa Clara, CA location.

What skills are required for this Verification Engineer role?

Proficiency in Verilog and/or VHDL, C/C++ and SystemVerilog is required, along with experience in UVM verification environments and scripting with Perl, Python and C/C++. Familiarity with hierarchical design approach, top-down design, SoC and system level verification is also essential.

What is the company culture like at NVIDIA's Emulation division?

We are a work-flex, family and diverse team with continual collaboration across Design, DV, Power, Silicon Validation, Performance, and Software teams.

What makes a strong candidate for this position?

NVIDIA seeks inventive and autonomous individuals with an M.S or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field, and 3+ years of proven experience.

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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