AI Grid Networking Engineer - GPU Fabric Performance

AMP PBC; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMP PBC is building the largest independent AI fleet. You will own the east-west network across clusters, bringing up the fabric from switch access to production-grade performance for high-scale GPU training workloads.

This founding role requires hands-on deployment, tuning, and leadership to ensure robust, scalable network infrastructure. You will work with RoCEv2/RDMA at scale, diverse switch platforms, and NCCL benchmarking, shaping the fabric for frontier AI labs.

Qualifications

• Experience bringing up and tuning large GPU training fabrics.
• Direct hands-on RoCEv2/RDMA in production for 1,000+ GPUs.
• Deep knowledge of switch platforms (NVIDIA Spectrum-X, Arista, Cisco, Juniper).
• Comfort with NCCL and benchmarking.

Responsibilities

• Own east-west fabric bringup and tuning across clusters, starting with a B300 deployment and extending to the full Grid
• Take clusters from racked and cabled to production performance: switch access, fabric configuration, validation, and handoff to customers running real training workloads
• Tune lossless Ethernet end to end, including PFC, ECN and DCQCN congestion control, buffer allocation, QoS classes, hashing and traffic isolation
• Diagnose and fix the failure modes that quietly destroy training throughput: link health, packet loss, congestion collapse, low-entropy and bursty AI traffic patterns
• Benchmark and validate fabric performance against real collective operations, and defend the numbers our customers depend on
• Work across heterogeneous hardware by design. Different providers, different sites, different switch vendors and different silicon, with NVIDIA reference architectures as a floor rather than an answer
• Build the tooling and runbooks that make cluster onboarding fast and repeatable, so the fleet can scale without the process scaling with it
• Partner directly with frontier AI labs on the performance of the compute they are training on
• Hire and lead the network team as the Grid grows

Skills

RoCEv2 RDMA

Switch platforms depth

NVIDIA Spectrum-X

Leaf-spine topology

NCCL benchmarking

Team leadership

Education

Bachelor's degree

Tools

Arista EOS

Cisco Nexus

Juniper

SONiC

Cumulus Linux

Job description

AMP PBC is building the largest independent AI fleet. You will own the east-west network across clusters, bringing up the fabric from switch access to production-grade performance for high-scale GPU training workloads.

This founding role requires hands-on deployment, tuning, and leadership to ensure robust, scalable network infrastructure. You will work with RoCEv2/RDMA at scale, diverse switch platforms, and NCCL benchmarking, shaping the fabric for frontier AI labs.