Software Development Engineer - GPU Interconnects and Ethernet AI
Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 2, 2026. AMD scores A on the Alion truth index.
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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 technology.
In 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 SerDes 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 performance on AMD platforms
- Help define software requirements and influence future GPU, interconnect, switch and system architecture
- Provide technical leadership through design and code reviews, and mentor engineers across the team
PREFERRED EXPERIENCE:
- Years of experience in networking, systems software, driver or firmware development
- Strong C/C++ programming skills with a keen attention to code quality; Python or Go for tooling is a plus
- Linux kernel driver development experience, including PCIe devices, DMA, interrupts and memory management
- Embedded firmware development experience on microcontrollers or SoC management processors, including RTOS or bare-metal environments
- Strong knowledge of Ethernet (MAC, PCS, FEC, SerDes, link training and auto-negotiation) and high-speed link bring-up
- Experience with GPU interconnect or scale-up fabric technologies such as UALink, Infinity Fabric/xGMI, NVLink or Ethernet-based scale-up
- Strong Ethernet networking experience, including L2 switching and bridging, VLANs, MAC learning, LLDP, link aggregation, L3 forwarding, and QoS (PFC, ETS, ECN, buffer and queue management)
- Experience with datacenter switch software such as SONiC, SAI or switch ASIC SDKs
- Experience with network protocols and transports such as RDMA, RoCE, InfiniBand, TCP/IP or related high-performance transport technologies
- Familiarity with scale-up and scale-out architectures in AI or large distributed computing environments
- Experience debugging complex multi-node system issues involving hardware, firmware, drivers, switches and application workloads
- Experience with performance analysis, profiling, tracing and observability tools used for system and network performance tuning
- Experience with ASIC, GPU, NIC or switch bring-up is highly desirable
- Knowledge of reliability, availability and serviceability considerations in rack-scale or datacenter deployments is a plus
- Experience with software development processes and tools such as debuggers and source code control
- Effective communication and problem-solving skills, with a proven ability to lead technical work across architecture, hardware, firmware, software and validation teams
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
LOCATION: Santa Clara, CA
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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 technology.
In 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 SerDes 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 performance on AMD platforms
- Help define software requirements and influence future GPU, interconnect, switch and system architecture
- Provide technical leadership through design and code reviews, and mentor engineers across the team
PREFERRED EXPERIENCE:
- Years of experience in networking, systems software, driver or firmware development
- Strong C/C++ programming skills with a keen attention to code quality; Python or Go for tooling is a plus
- Linux kernel driver development experience, including PCIe devices, DMA, interrupts and memory management
- Embedded firmware development experience on microcontrollers or SoC management processors, including RTOS or bare-metal environments
- Strong knowledge of Ethernet (MAC, PCS, FEC, SerDes, link training and auto-negotiation) and high-speed link bring-up
- Experience with GPU interconnect or scale-up fabric technologies such as UALink, Infinity Fabric/xGMI, NVLink or Ethernet-based scale-up
- Strong Ethernet networking experience, including L2 switching and bridging, VLANs, MAC learning, LLDP, link aggregation, L3 forwarding, and QoS (PFC, ETS, ECN, buffer and queue management)
- Experience with datacenter switch software such as SONiC, SAI or switch ASIC SDKs
- Experience with network protocols and transports such as RDMA, RoCE, InfiniBand, TCP/IP or related high-performance transport technologies
- Familiarity with scale-up and scale-out architectures in AI or large distributed computing environments
- Experience debugging complex multi-node system issues involving hardware, firmware, drivers, switches and application workloads
- Experience with performance analysis, profiling, tracing and observability tools used for system and network performance tuning
- Experience with ASIC, GPU, NIC or switch bring-up is highly desirable
- Knowledge of reliability, availability and serviceability considerations in rack-scale or datacenter deployments is a plus
- Experience with software development processes and tools such as debuggers and source code control
- Effective communication and problem-solving skills, with a proven ability to lead technical work across architecture, hardware, firmware, software and validation teams
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
LOCATION: Santa Clara, CA
This role is not eligible for visa sponsorship.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.