Linux Driver Developer
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- C
- Linux kernel
- Device drivers
NVIDIA is seeking a Software Engineer to join its Software R&D Linux Kernel team in Yokneam. This is an outstanding opportunity to help build, develop, and maintain advanced kernel drivers and user-space libraries that power next-generation networking technologies. You will be part of a world-class team determined to bring flawless solutions to our customers while competing at the forefront of technological innovation.
What you’ll be doing
• Build and implement Linux kernel drivers for brand new networking devices, along with supporting user-space libraries.
• Collaborate with global engineering teams to troubleshoot issues and deliver effective solutions for customers.
• Write high-quality code for the Linux kernel and other open-source environments.
• Work in a continuous deployment environment with rapid development and release cycles.
• Join an experienced, collaborative team with a strong engineering culture.
What we need to see
• B.Sc. in Computer Science or equivalent experience in practice.
• At least 2+ years of hands-on industry experience.
• Strong native C programming skills.
• Excellent problem-solving and debugging abilities.
• Ability to work independently while communicating clearly and effectively with others.
Ways to stand out from the crowd
• Prior experience contributing to Linux kernel development or open-source communities.
• Strong understanding of data structures and operating systems.
• Experience developing device drivers.
• Solid networking knowledge.
Join us and successfully implement innovative solutions that will make a lasting impact on the world!
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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