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Host and Systems Performance Senior Manager
·Israel
On-siteFull-timeBackend DevelopmentComputer HardwareSemiconductors
Lead a team of performance engineers focused on NIC, host, and system-level analysis for advanced networking products used in AI, HPC, and cloud environments. This role spans the full product lifecycle, from architecture to GA readiness, and requires deep expertise in high-performance networking and system architecture.
Responsibilities
- Lead, coach, and develop a team focused on NIC, host, DOCA networking stack, and system-level performance.
- Define performance test plans, methodologies, metrics, and success criteria for new networking technologies.
- Guide pre-silicon and post-silicon performance planning, analysis, reporting, and readiness reviews.
- Benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, DOCA, storage, security, and host networking stacks.
- Identify bottlenecks across NIC, DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, DOCA, and full-system architecture.
- Lead root-cause analysis, coordinate mitigation plans, and align hardware, firmware, software, architecture, validation, and product teams on performance goals.
Requirements
- 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.
Nice to have
- 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.
Benefits
- Competitive compensation
- Health and wellness programs
- Financial benefits
- Time away from work
- Family support
- Learning opportunities