
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. Seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC. ## What You’ll Be doing: - Design, develop, and maintain system-level software to support GPU-to-GPU communication. - Collaborate with cross-functional hardware and software teams to build next-generation networking solutions. - Contribute to scalable and reliable GPU fabric architecture for large compute clusters. - Align software development with customer needs and real-world deployment environments. ## What we need to see: - A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.). - 5+ years of professional software development experience. - Proficiency in C/C++, with strong debugging and system-level problem-solving skills. - Experience developing software that interacts with hardware and device drivers. - Solid understanding of system architecture, operating systems, and kernel internals. - Background in multi-threaded and distributed systems development. - Experience with Linux development; familiarity with Windows is a plus. - Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet). - Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V. - Comfortable collaborating with a distributed team across different time zones. ## Ways to stand out from the crowd: - Experience with the CUDA programming model and NVIDIA GPU architecture. - Understanding of memory consistency and coherence models. - Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ . 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
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