Software Development Engineer, GPU Interconnects and Ethernet AI

What you'll do

• Lead the design and development of networking software for GPU scale-up interconnects and Ethernet-based AI fabrics.
• Develop and optimize Linux kernel drivers, embedded firmware, and user-space software for GPU, NIC, and switch subsystems.
• Drive hardware and software bring-up for new ASICs, including SerDes, link initialization, and topology discovery.
• Define firmware, driver, and management interfaces for control-plane protocols between GPUs, switches, and fabric management software.
• Analyze end-to-end network performance, latency, bandwidth utilization, and congestion behavior across multi-node deployments.
• Develop tools and telemetry frameworks to monitor fabric health and accelerate root cause analysis for system bottlenecks.
• Resolve complex issues across the stack, including transport layers, collective communication libraries, and distributed runtimes.
• Provide technical leadership through design and code reviews while mentoring other engineers on the team.

What we're looking for

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
• Experience in networking, systems software, driver, or firmware development (preferred).
• Strong C/C++ programming skills with attention to code quality (preferred).
• Linux kernel driver development experience, including PCIe devices, DMA, interrupts, and memory management (preferred).
• Embedded firmware development experience on microcontrollers or SoC management processors (preferred).
• Strong knowledge of Ethernet (MAC, PCS, FEC, SerDes, link training, and auto-negotiation) and high-speed link bring-up (preferred).
• Experience with GPU interconnect or scale-up fabric technologies such as UALink, Infinity Fabric/xGMI, NVLink, or Ethernet-based scale-up (preferred).
• Experience with datacenter switch software such as SONiC, SAI, or switch ASIC SDKs (preferred).