1 day ago
Base Salary
$168k - $322k/yr
Responsibilities
- Reproduce, resolve, and root-cause sophisticated customer issues involving NVIDIA networking and AI cluster technologies.
- Collaborate with R&D teams to develop bug fixes, workarounds, and solutions for critical customers.
- Build expertise in InfiniBand, NVLink, Spectrum-X, and other high-performance networking technologies.
- Analyze network performance metrics and recommend tuning for high-performance, lossless networks.
- Develop tools for field-issue analysis, log and trace analysis, and source-code debugging.
- Provide technical explanations and communicate findings to customers, partners, support teams, and R&D groups.
- Provide occasional customer support on weekends or holidays.
Requirements
- Bachelor’s degree in Computer, Electrical, or Software Engineering, or equivalent experience.
- 8+ years of C or Python programming experience in Linux or embedded systems.
- Experience developing software for Linux NIC drivers, switch ASICs and SDKs, embedded network-device firmware, Linux-based network equipment, network operating systems, virtual routers, SDN stacks, virtual switching, DPDK, or SR-IOV stacks.
- At least 3 years of direct support experience with end customers, partners, or integrators for network equipment and infrastructure.
- Strong expertise in system software, including firmware, BIOS, kernels, drivers, and operating systems.
- Professional-level communication skills and the ability to adapt explanations to the technical level of the audience.
- Preferred experience with AI infrastructure, HPC networking, switch and NIC ASICs and SDKs, InfiniBand, DPUs, SmartNICs, HPC performance tools, NCCL, MPI, DOCA, or CUDA.
Benefits
- Competitive base salary with equity and benefits.
- Occasional weekend or holiday work may be required for customer support.
- Applications are accepted at least until October 11, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.