Senior Software Engineer, Chip Simulation

Reposted 3 Days Ago
Be an Early Applicant
Tel Aviv
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain simulation components for NVIDIA's networking chips. Collaborate with cross-disciplinary teams to simulate complex behaviors and extend simulation infrastructure, enhancing development and debugging processes.
Summary Generated by Built In

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.


NVIDIA is looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs.

This simulation platform enables NVIDIA engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you. 

What You’ll Be Doing

  • Develop and maintain simulation components for the physical layer of NVIDIA’s high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
  • Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
  • Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
  • 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.

What We Need To See

  • 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 from the Crowd

  • Experience building complex simulation or emulation systems, especially those simulating hardware behaviors.
  • Experience 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).

Be at the heart of NVIDIA’s chip development flow, enabling early development and debugging of groundbreaking networking and GPU technologies.

Collaborate across domains with top engineers in firmware, chip design, and architecture.

Help shape the future of pre-silicon validation through advanced simulation and test infrastructure.

Join a culture of engineering excellence, innovation, and collaboration

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

Top Skills

C
C++
Docker
Gerrit
Git
Jenkins
Linux
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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