About the role
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.
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.Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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