Hardware Tools Application 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

Semiconductor, TechnologyIndustries

Requirements

B.Sc in Electrical Engineering
4+ years of relevant experience
Excellent debugging skills — ability to investigate, analyze, and resolve complex issues across software, hardware, and system layers
Proficiency in Python
Experience with post-silicon (Post-Si) hardware work and lab instrumentation, hands-on with tools such as real-time/sampling oscilloscopes, spectrum analyzers
Strong communication skills and ability to collaborate with multi-functional engineering groups
Fluency in English for technical and professional communication
Familiarity with both software and hardware domains

Responsibilities

Provide technical support to internal engineering teams, helping diagnose and resolve issues across diverse areas such as hardware, software, and Linux environments
Debug, solve, and analyze problems effectively, ensuring minimal disruption for engineering workflows
Understand customer needs (chip design, algorithm development, PHY and optics characterization, etc.) and translate them into product improvements or new tools
Collaborate closely with software developers to enhance existing solutions and design new internal tools
Communicate findings, solutions, and technical insights effectively to both customers and the development team
Collect, analyze, and summarize customer feedback to drive continuous improvements

Skills

Key technologies and capabilities for this role

PythonLinuxDebuggingPost-SiliconOscilloscopesSpectrum AnalyzersLab InstrumentationHardwareSoftware

Questions & Answers

Common questions about this position

What education and experience are required for the Hardware Tools Application Engineer role?

A B.Sc in Electrical Engineering and 4+ years of relevant experience are required.

What key technical skills are needed for this position?

Excellent debugging skills across software, hardware, and system layers, proficiency in Python, experience with post-silicon hardware work and lab instrumentation like oscilloscopes and spectrum analyzers, and familiarity with software and hardware domains are essential.

What soft skills are important for this role?

Strong communication skills, ability to collaborate with multi-functional engineering groups, and fluency in English for technical communication are required.

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

NVIDIA fosters a diverse work environment with forward-thinking, hardworking people, values creativity and autonomy, and is committed to equal opportunity without discrimination.

What makes a candidate stand out for this Hardware Tools Application Engineer position?

Ways to stand out include knowledge of object-oriented programming and design patterns, experience developing support automation tools, knowledge of DevOps, CI/CD or containerized environments, and strong knowledge of hardware like SerDes and Optics.

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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