Firmware Verification Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, Cloud, HPC, StorageIndustries

Requirements

B.Sc. in Computer Science / Computer Engineering / Electrical Engineering
3+ years of professional experience
Strong C/C++ capabilities
Excellent understanding of data structures and algorithms fundamentals
Strong analytical, debugging and problem-solving skills
Motivated and independent with strong interpersonal skills

Responsibilities

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment, in pre and post silicon
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results
Work closely with the architecture and different software design teams
Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship
Learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed

Skills

Key technologies and capabilities for this role

C++CVerification FrameworksData StructuresAlgorithmsDebuggingContinuous IntegrationRegression ToolsNetwork ProtocolsReal-Time ProgrammingStorage ProtocolsAgile

Questions & Answers

Common questions about this position

What is the location for this Firmware Verification Engineer role?

The position is based at the Yokneam site.

What education and experience are required for this position?

A B.Sc. in Computer Science, Computer Engineering, or Electrical Engineering is required, along with 3+ years of professional experience.

What key skills are needed for the Firmware Verification Engineer role?

Strong C/C++ capabilities, excellent understanding of data structures and algorithms fundamentals, and strong analytical, debugging, and problem-solving skills are required.

What is the work environment like at NVIDIA's Firmware team?

The work environment is dynamic, meaningful, and fast-paced, with talented engineers around the globe.

What makes a candidate stand out for this role?

Prior verification experience and C++, knowledge of network protocols, real-time programming, knowledge in storage protocols, and experience with Agile methods will help you stand out.

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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