Senior Firmware PHY Verification Engineer at NVIDIA

Santa Clara, California, United States

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$148,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, NetworkingIndustries

Requirements

B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering
5+ years of relevant experience working with established brands
Programming knowledge in C and C++, object-oriented (OOP)
Experience with Verification and Automation
Experience with C/CPP
Knowledge in Linux
Creative, motivated individual

Responsibilities

Own the responsibility for delivering Networking features and their verification aspects
Define, develop and maintain verification infrastructure and regression test suites - make test suites robust, maintainable and easy portable
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results
Innovate! Bring NVIDIA product to next quality level

Skills

Key technologies and capabilities for this role

CC++OOPPythonLinuxGitJenkinsGerritFirmware VerificationNetworking ProtocolsCI/CDAutomationRegression Testing

Questions & Answers

Common questions about this position

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

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. Candidates are also eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior Firmware PHY Verification Engineer role?

Required qualifications include a B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or Communication Engineering, 5+ years of relevant experience, programming knowledge in C and C++ with OOP, experience with verification and automation, and Linux knowledge.

What is the company culture like at NVIDIA for this role?

NVIDIA fosters a diverse work environment as an equal opportunity employer and features forward-thinking, hardworking people in rapidly growing best-in-class engineering teams. They seek creative, motivated, and autonomous engineers passionate about technology.

What makes a candidate stand out for this position?

Candidates can stand out with experience in Git, Python, networking applications and protocols, and CI methodology & tools like Gerrit and Jenkins.

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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