Senior Optics Firmware Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

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
Proven Experience with C++ test development
Knowledge in Linux
Creative, motivated individual

Responsibilities

Own the responsibility and technical understanding 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++OOPLinuxVerificationAutomationC++ test developmentGitPythonNetworking protocolsGerritJenkins

Questions & Answers

Common questions about this position

What are the required qualifications for the Senior Optics Firmware Verification Engineer role?

Candidates need a B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or Communication Engineering, plus 5+ years of relevant experience. Required skills include programming knowledge in C and C++, object-oriented OOP, experience with verification and automation, proven C++ test development, and knowledge in Linux.

What does the company culture look like at NVIDIA for this team?

NVIDIA develops a collaborative and inclusive work environment where ideas are shared and innovation is encouraged. The team is part of a growing group with forward-thinking and hardworking people, rapidly expanding due to outstanding growth.

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

What skills will help me stand out as a candidate?

Experience with Git, background with Python, experience with networking applications and protocols, and background with CI methodology and tools like Gerrit and Jenkins will make you stand out.

Is this a remote position or does it require office work?

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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