Senior Software Engineer - Chip Simulation at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Bachelor's Degree or equivalent experience in Computer Science / SW / Computer Engineering / Electrical Engineering / Communication Engineering
5+ years of experience with Python and C
Experienced in board/system-level debug
Knowledge in Linux
Creative, motivated, and dedicated person
Ways to stand out
Experience with multi-platform systems, both in HW/FW/SW
Background with Networking applications and protocols
Experience with CI methodology & tools (Git, Gerrit, Jenkins, etc.)

Responsibilities

Learning, developing, and delivering new Networking features in simulation
Define, develop and maintain simulation reference model infrastructure - make test suites robust, maintainable, and easily portable
Work with Continuous integration system, regression tools, automate builds, run test suites, and analyze results
Innovate! Bring NVIDIA's SDK/FW Switching products to shine in the customer's views

Skills

Key technologies and capabilities for this role

PythonCLinuxSystem-level DebugCIGitGerritJenkinsNetworking ProtocolsSimulationContinuous Integration

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Engineer role?

A Bachelor's Degree or equivalent experience in Computer Science, SW, Computer Engineering, Electrical Engineering, or Communication Engineering is required, along with 5+ years of experience with Python and C.

What are the key responsibilities in this position?

Responsibilities include learning, developing, and delivering new Networking features in simulation, defining and maintaining simulation reference model infrastructure, working with CI systems and regression tools, and innovating on NVIDIA's SDK/FW Switching products.

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

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What qualities or experiences make a candidate stand out for this role?

Candidates stand out with experience in multi-platform systems (HW/FW/SW), background in Networking applications and protocols, and experience with CI methodology and tools like Git, 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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