Senior Firmware PHY Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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

Requirements

  • B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering
  • 5+ years of relevant experience working with established brands
  • Experience with Verification and Automation
  • Programming Knowledge in C and C++, object-oriented OOP
  • Knowledge in Linux
  • Creative, motivated and value-driven person
  • Ways to stand out from the crowd:
  • Background with C/C++ as well as Git
  • Experience with Python
  • Experience with Networking applications and protocols
  • Background with CI methodology & tools (Gerrit, Jenkins etc.)

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++OOPLinuxPythonGitJenkinsGerritNetworking ProtocolsVerificationAutomationCI

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Firmware PHY Verification Engineer role?

A B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or Communication Engineering is required, along with 5+ years of relevant experience working with established brands.

What programming skills are needed for this position?

Programming knowledge in C and C++, including object-oriented OOP, is required.

What are the ways to stand out as a candidate for this role?

Background with C/C++ and Git, experience with Python, Networking applications and protocols, and CI methodology & tools like Gerrit and Jenkins will help you stand out.

What is the work arrangement or location for this job?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

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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