System Software Engineer – GPU and SOC (2027 RDSS Intern)
Overview
- Added in 30 days
- 658
- At this company, still open
Skills named in this posting
- x86
- C
- C++
- Linux kernel
- Device drivers
- RTOS
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.
NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers and embedded SW. You should demonstrate the ability to excel in an environment with complex software and hardware designs.
What you’ll be doing:
• Define, design, develop and verify features our bleeding edge technology into our next-gen GPU chips or new SoCs platforms, collaborating with HW Arch/System engineers, SW fellow engineers, etc.
• Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips.
• Follow the new GPU chips or SOC platforms all the way through the development process to the customer products that are used throughout the world.
• Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products.
• Have multiple opportunities to collaborate and communicate effectively with teams across the globe.
What we need to see:
• Currently new BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
• Strong C programming, C++, low-level driver and x86, ARM or SOC system platform experience.
• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
• Kernel experience with Linux, Android, Chrome, or Windows systems.
• Experience with complex system-level debugging is invaluable.
Ways to stand out from the crowd:
• Background and strength with complex SOC, AI & GPU computing system architecture design is invaluable.
• Deep understanding of device drivers, memory management, SOC firmware, power management, and performance.
• Experience on big complex system-level SW build flow/maintenance/Open Source Project.
• Platform SW, System SW and Device SW stack understanding on x86, ARM, or SOC.
• Experience or outstanding delivery with embedded system, x86, ARM or SOC system SW, e.g.: RTOS, performance tuning or power management.
NVIDIA is widely considered to be one of the technological 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, passionate, and self-motivated, we want to hear from you!
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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