Software Development Engineer - GPU Interconnects and Ethernet AI

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward.

Join us and, together, we’ll advance your career.

THE ROLE:

AMD is looking for AI Networking Systems Software Engineer to drive the design, development and bring-up of networking software for GPU scale-up interconnects and Ethernet-based AI fabrics. You will be a senior technical contributor in a core team of industry specialists, working with the latest GPU, NIC, switch and rack-scale  this role, you will lead the design, development, optimization and bring-up of networking software across the driver, firmware and systems software layers for AMD Helios rack-scale deployments, with a primary focus on Ethernet-based scale-up GPU interconnect and scale-out networking.

You will work across silicon, hardware, firmware, driver, switch software and architecture teams to deliver high-performance, low-latency and resilient networking for next-generation AI infrastructure.

THE PERSON:

The ideal candidate is a senior software engineer with deep experience across networking, switches and GPU interconnects, who can own complex technical areas end to end and drive difficult cross-team issues to resolution. You communicate clearly with architecture, hardware, firmware and software teams, and provide technical direction and mentorship to other engineers.

You have hands-on experience spanning device drivers, embedded firmware and systems software, and are comfortable debugging problems that cross silicon, firmware, driver, switch and workload boundaries. You work well in ambiguous, fast-moving environments and are motivated by end-to-end system challenges in rack-scale AI platforms.

KEY RESPONSIBILITIES:

• Lead the design and development of networking software for GPU scale-up interconnect and Ethernet-based AI fabrics on AMD Helios rack-scale systems
• Develop and optimize Linux kernel drivers, embedded firmware and user-space software for GPU interconnect, NIC and switch subsystems
• Drive hardware and software bring-up of new ASICs and platforms, including Ser Des and link initialization, Ethernet MAC/PCS/FEC configuration, topology discovery and validation
• Work with switch software teams on switch configuration, forwarding, QoS, telemetry and fabric management for scale-up and scale-out topologies
• Define firmware, driver and management interfaces and control-plane protocols between GPUs, switches and fabric management software
• Analyze end-to-end network performance, latency, bandwidth utilization, congestion behavior and communication efficiency across multi-node and rack-scale deployments
• Develop tools, diagnostics and telemetry frameworks to monitor link and fabric health, identify bottlenecks and accelerate root cause analysis
• Investigate and resolve issues across the stack, including GPU interconnect, NICs, switches, transport layers, firmware, drivers, collective communication libraries and distributed runtimes
• Contribute to resiliency, RAS, serviceability and deployment readiness features for large-scale clusters
• Support performance characterization of collective operations and distributed training and inference workloads over scale-up and scale-out fabrics
• Partner with internal and external teams, including switch and platform vendors, to validate interoperability and optimize AI workload…