Networking Engineer - AI Data Center Fabric

Tensordyne; Sunnyvale (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive benefits

Flexible spending options

Recognition program

Job summary

Tensordyne, an AI systems company in Sunnyvale, CA, seeks a Networking Engineer to design, build, and optimize multi-hop fabrics for high-performance AI inference. You will operate across the stack—from userspace to firmware—to squeeze latency, bandwidth, and reliability from lossless networks.

This on-site role collaborates with hardware and software teams to deploy scalable fabric architectures, tune telemetry, and drive end-to-end networking solutions in a fast-paced startup environment.

Qualifications

• Experience designing and operating data center or HPC networks.
• Hands-on knowledge of L2/L3 forwarding, ECMP, RoCE, QoS, PFC, and telemetry.
• Ability to work across userspace, kernel, drivers, and firmware.
• Strong software engineering fundamentals and clear interfaces.
• Ability to drive ambiguous networking work end-to-end.
• Excellent technical communication skills.
• BS or MS in Electrical Engineering or Computer Science.

Responsibilities

• Architect ultra-high-bandwidth multi-hop fabrics for AI inference.
• Optimize lossless Ethernet and RDMA/RoCE transport with PFC, ECN, DCQCN.
• Work across userspace, kernel, drivers, SDK, and firmware to fix bottlenecks.
• Drive route, next-hop, and ECMP programming from control-plane to hardware.
• Select switches, optics, transceivers, and cabling; lead fabric bring-up.
• Build telemetry pipelines to surface network health and congestion.
• Develop automation for provisioning and rollout of network software.
• Debug cross-boundary issues across kernel, drivers, ASIC, optics.
• Define deployment standards for consistent fabric rollouts.
• Partner with silicon, hardware, platform, manufacturing teams.
• Mentor teammates and shape Tensordyne's networking roadmap.

Tools

OpenConfig gNMI

SAI

Broadcom SDK

Job description

Tensordyne, an AI systems company in Sunnyvale, CA, seeks a Networking Engineer to design, build, and optimize multi-hop fabrics for high-performance AI inference. You will operate across the stack—from userspace to firmware—to squeeze latency, bandwidth, and reliability from lossless networks.

This on-site role collaborates with hardware and software teams to deploy scalable fabric architectures, tune telemetry, and drive end-to-end networking solutions in a fast-paced startup environment.