Software Engineer, Data Center Compute Software Tools (RDSS Intern)
AI in this role
By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.
We are looking for a Software Intern, Data Center Compute Software Tools. 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 deep learning — 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, we are increasingly known as “the AI computing company.” We are looking to grow our company and establish teams with the most thoughtful people in the world.
NVIDIA DGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale. With its end-to-end performance and flexibility, NVIDIA HGX enables researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress on the most powerful end-to-end AI supercomputing platform. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
- Working with a global team of Datacenter Tool developers on NVIDIA server designs.
- Design and develop Tools for Datacenter Software and Firmware solutions.
- Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module and maintain detailed unit test case reports.
- Providing software quality reports based on static analysis, code coverage, CPU load.
- Working closely with hardware teams to influence hardware design and review HW architecture & schematics.
- Collaborate with QA/Test architects to come up with proper test tools and automation for qualifying the whole system software and firmware stack.
What we need to see:
- MS, or PhD in EE/CS or related field of education with active development using Python and C/C++ as primary programming language using Linux as OS.
- System knowledge - how platform management works - areas like BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc.
- Experience with bash/python scripting and debugging skills in Linux operating environments.
- Experience in Git operation.
- Possess excellent written and oral communication skills, good work ethics, a high sense of teamwork and love to produce quality work and commitment to finish your tasks every single day.
- You are a self-starter who loves to find creative solutions to complicated problems.
Ways to stand out from the crowd:
- Hands on with x86 or ARM system architecture.
- Familiarity with the architecture of datacenter server hardware and experience with the in-band and out-of-band management of firmware and hardware components.
- Understanding on REST architecture style especially JSON over HTTPs with OAuth
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 on the planet working for us. If you're creative and autonomous, we want to hear from you!
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.
How we rate this
Software Engineer, Data Center Compute Software Tools (RDSS Intern) at NVIDIA rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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