Senior Software Engineer – Simulation and Virtualization

Reposted An Hour Ago
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Hiring Remotely in Santa Clara, CA
In-Office or Remote
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop simulation platforms for NVIDIA DGX systems, improve performance, and work with hardware modeling and software teams globally.
Summary Generated by Built In

NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are hiring Sr. Software Engineer who will help build simulators for our DGX Server platforms. Simulations play a significant role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW.

What you’ll be doing:

  • Contribute to architect and develop simulation platform for next-gen NVIDIA DGX platforms.

  • Build, integrate and enhance simulator components with new HW features and write supporting technical documents.

  • Bring full SW stack up on DGX Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally.

  • Improve performance, fix bugs across user and kernel stack, and automate execution flow.

What we need to see:

  • Proficient in C/C++ with strong software development, optimization, user & kernel mode debugging skills.

  • OS fundamentals and system architecture understanding like low-level interfaces such as buses, controllers, interrupts etc.

  • Good understanding of hypervisors & HW emulators, like QEMU, KVM, VDK, Simics, etc.

  • Working experience on any one major Linux distro like Ubuntu, RedHat, SLES etc.

  • Strong interpersonal & communication skills to work with a globally distributed engineering team.

  • Bachelor’s degree in computer science or related (or equivalent experience) with 5+ years of relevant experience.

Ways to stand out from the crowd:

  • Experience in HW & SW stack bring up using Simulators & Emulators etc.

  • Previous experience around hardware interfaces such as PCIe, SPI, I3C etc with Linux boot solutions on x86 & ARM class platforms.

  • Experience in Out of Band and Inband management architectures. Contribution in QEMU/KVM opensource repositories. Experience in Verilog and SystemC

We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 20, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and 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, veteran status, disability status or any other characteristic protected by law.

Top Skills

C/C++
Hypervisors
Kvm
Linux
Qemu
Redhat
Simics
Sles
Ubuntu
Vdk
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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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