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NVIDIA

Designs the chips and software that power AI

Software Engineer RDSS Intern - Simulation and Virtualization

Systems Software EngineeringConfirmed live in the last 24 hours
InternshipNo salary listedIn-person

About the Job

Requirements

  • A Master’s or PhD degree in Computer Science or a related field is required.
  • A solid understanding of computer operating systems and architecture is required.
  • Strong programming, problem-solving, and quality assurance skills are required; C or C++ is preferred.
  • Practical experience with continuous integration, continuous delivery, and DevOps tools such as Jenkins, CircleCI, Spinnaker, or GitHub Actions; scripting languages such as Python, Perl, or shell; containers such as Docker or Kubernetes; and source control management tools such as Git, GitLab, GitHub, or Perforce is required.

Responsibilities

  • Contribute to verifying, debugging, developing, and designing a simulation platform for next-generation NVIDIA data center systems.
  • Improve simulation performance, fix bugs across the user and kernel stack, and automate execution flow.
  • Collaborate globally with hardware modeling, kernel, and platform driver teams to bring the full software stack up on the Data Center Platform Simulator.

Desired Qualifications

  • Knowledge of system simulation and virtualization tools such as QEMU, KVM, Xen, Simics, SimNow, VDK, FVP, QQVP, Gem5, or GPGPU-Sim.
  • Experience with ARM and x86 architectures, program cross-compiling, and debugging.
  • Background in performance tuning using tools such as VTune, Perf, or Valgrind, and multithreading.
  • Experience with out-of-band management technologies such as BMC, I2C, I3C, USB, PCIe, MCTP, IPMI, or Redfish, and error injection.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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