NVIDIA data center systems, such as MGX, HGX and DGX, 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 Data Center platforms.
- Build, integrate and enhance simulator components with new HW features and write supporting technical documents.
- Bring full SW stack up on Data Center 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.
- 5+ years of experience in virtualization and HW simulation/emulation technologies.
- 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 at least major Linux distro like Ubuntu, RedHat, SLES etc.
- Strong interpersonal & communication skills to work with a globally distributed engineering team.
- 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
NVIDIA is committed to encouraging 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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!
Skills Required
- 5+ years of experience in virtualization and HW simulation/emulation technologies
- Proficient in C / C++ with strong software development skills
- Understanding of OS fundamentals and system architecture
- Experience with hypervisors & HW emulators, like Qemu, KVM
- Working experience on major Linux distros like Ubuntu, RedHat
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
