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

TechnologyIndustries

Requirements

Bachelor's Degree or equivalent experience in Computer Science / Software Engineering / Computer Engineering / Electrical Engineering / Communication Engineering
5+ years of experience in Python programming, with strong object-oriented design skills
Experience with C and/or C++, especially in systems or performance-sensitive environments
Experience debugging using debuggers (gdb), including concurrency issues (races, deadlocks...)
Solid understanding of Linux, containerized environments (e.g., Docker), and command-line tools
Familiarity with Inter-Process Communication (IPC) mechanisms (sockets, message queues, shared memory...)
Ability to communicate complex technical ideas in simple terms
Well-organized, proactive and capable of leading your own tasks
Collaborative personality with a love for teamwork
Ways to stand out
Experience building complex simulation or emulation systems, especially those simulating hardware behaviors
Background with multi-platform systems spanning HW, FW, and SW
Experience with low-level networking protocols and applications
Knowledge of physical layer concepts
Experience contributing to CI/CD systems and tooling (e.g., Git, Jenkins, Gerrit)

Responsibilities

Learning, developing, and delivering new Networking features in simulation
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools
Support internal users by debugging simulation flows and collaborating on bug resolution
Take part in future-facing innovation by enabling simulation for next-generation devices and features

Skills

Key technologies and capabilities for this role

PythonC++CgdbLinuxDockersocketsmessage queuesshared memoryobject-oriented designCI pipelinesconcurrency debugging

Questions & Answers

Common questions about this position

What experience level is required for this Senior Software Engineer role?

The role requires 5+ years of experience in Python programming with strong object-oriented design skills, plus experience with C and/or C++.

What are the key technical skills needed for this position?

Key skills include Python programming, C/C++ in performance-sensitive environments, debugging with gdb including concurrency issues, Linux and Docker, and IPC mechanisms like sockets and shared memory.

What education is required for this job?

A Bachelor's Degree or equivalent experience in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or Communication Engineering is required.

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What salary or compensation does this position offer?

This information is not specified in the job description.

What soft skills or personal qualities are they looking for?

They seek candidates with the ability to communicate complex technical ideas simply, who are well-organized, proactive, capable of leading tasks, and have a collaborative personality with a love for teamwork.

How can I stand out as a candidate for this role?

Stand out with experience building complex simulation or emulation systems simulating hardware behaviors, multi-platform systems spanning HW/FW/SW, low-level networking protocols, physical layer concepts, and CI/CD contributions.

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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