What We Need To See B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. Experience in performance analysis, systems engineering, networking, or HPC/AI infrastructure. 10+ years of software engineering experience, including 4+ years in a leadership or management role. Experience with high-performance networking technologies such as RDMA, RoCE, InfiniBand, Ethernet, MPI or NCCL. Hands-on experience with system performance analysis, benchmarking, profiling, and root-cause analysis. Understanding of host architecture, including CPUs, memory hierarchy, NUMA, PCIe, Linux OS, drivers, firmware, and DPU/NIC interactions. Experience creating performance test plans for pre-silicon or post-silicon phases. Programming or scripting experience with Python and Bash; C/C++ experience is helpful. Ability to communicate technical findings clearly and work across engineering teams. Ways To Stand Out from the Crowd Experience with NICs or DPU architecture, networking offloads, host datapath behavior, networking services, or DPU offloads. Experience with AI/HPC cluster performance, distributed training, inference workloads, collective communication libraries, telemetry pipelines, benchmark automation, CUDA, NCCL internals. Linux kernel networking, DPDK, OVS, storage acceleration, or security offloads can also help you succeed in this role. We support our people with competitive compensation, health and wellness programs, financial benefits, time away from work, family support, learning opportunities, and resources that help employees do their best work. Benefits may vary by location, role, and eligibility. NVIDIA is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We consider qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status,
