About the 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.
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
As a Software Engineering RDSS Intern, the candidate will be responsible for supporting in design and development of software solutions in the areas of Data Center Simulation. We are looking for Interns who are passionate about working at the intersection of leading-edge datacentres, compute SW and operating system software.
What you'll be doing:
- Contribute to verify, debug, develop, and design simulation platform for next-gen NVIDIA data center systems
- Improve simulation performance, fix bugs across user and kernel stack, and automate execution flow
- Collaborate globally with hardware modelling, kernel, and platform driver teams to bring the full software stack up on the Data Center Platform Simulator
What we need to see:
- Master’s or PhD's degree in Computer Science or related fields
- Solid understanding of computer operating system & architecture
- Strong programming, problem-solving and QA skills preferably in C/C++
- Practical experience in CI/CD/DevOps (Jenkins/CircleCI/Spinnaker/GitHub Actions/etc.), scripting (Python/Perl/shell/etc.), containers (Docker/Kubernetes/etc.), and SCM tools (Git/GitLab/GitHub/Perforce/etc.)
Ways to stand out from the crowd:
- Knowledge of system simulation and virtualization (QEMU/KVM/Xen/Simics/SimNow/VDK/FVP/QQVP/Gem5/GPGPU-Sim/etc.)
- Experience on ARM & x86 architecture and program cross compiling & debugging
- Background on performance tuning (using tools like VTune/Perf/Valgrind/etc.), and multiple threading
- Experience on Out-of-Band (OOB) management (BMC/I2C/I3C/USB/PCIe/MCTP/IPMI/Redfish/etc.) and error injections
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
Similar roles
Simulation & IT Specialist, Austin
Fairfield University
Network Modeling and Simulation Researcher (Security Clearance Required)
ICF International
Senior Circuit Design Engineer - Power Modeling and Simulation
NVIDIA
Risk Services - Cyber Simulation Associate (July 2027 Intake)
PwC
Masterarbeit "Thermomechanical Simulation of Ultra‑Thin Sheet Welding"
Magna International
Circuit Design Engineer, Power Modeling and Simulation - New College Grad 2026
NVIDIA