ML Infra Network Engineer for 100k+ GPU Scale

AI Pulse; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Job summary

SpaceXSI is seeking an ML Infrastructure Engineer to design and optimize the network fabric for large-scale AI training and inference clusters in Palo Alto, CA. You will own copper and optical interconnect development, from design through deployment, partnering with vendors and ML teams to meet performance, power and cost targets.

The role emphasizes deep expertise in SerDes, fiber optics, and system-level integration, with opportunities to influence roadmaps and contribute to automation and

Qualifications

• At least 8+ years designing, deploying and operating high-speed copper and optical interconnects.
• Master's or PhD in Electrical Engineering, Photonics or Physics.
• Deep knowledge of PAM4 SerDes performance, equalization, jitter, crosstalk.
• Solid operational understanding of FEC, Retimers, TIAs and Drivers.
• Deep knowledge of optical link budget analysis and performance metrics.

Responsibilities

• Design, validate, and productize high-speed copper and optical connectivity solutions for AI clusters (100k+ GPU scale).
• Own vendor due diligence for new 1.6T products including AEC and pluggable optical transceivers (DR4/8, FR4).
• Investigate the opportunity for LPO and LRO in our network.
• Evaluate early co-packaged and near-packaged engines for switches and GPUs.
• Pathfinding for new interconnect modalities including VCSEL, microLED, THz radio-based solutions.
• Work closely with vendors to influence roadmaps and ensure timely delivery of next-gen solutions.
• Collaborate with ML training teams to translate workload patterns into interconnect topology requirements.
• Perform system-level simulation of end-to-end fabric performance.
• Drive failure analysis and corrective actions for interconnect-related issues in production clusters.
• Contribute to internal tooling and automation for interconnect health monitoring and diagnostics.
• Stay current with industry standards (OIF CMIS, IEEE)

Skills

PAM4 SerDes

Optical interconnects

System-level integration

Signal integrity

Thermal/power management

Education

Master's or PhD in Electrical Engineering, Photonics or Physics

Tools

Docker

Kubernetes

TensorFlow

PyTorch

MLflow

Weights & Biases

Job description

SpaceXSI is seeking an ML Infrastructure Engineer to design and optimize the network fabric for large-scale AI training and inference clusters in Palo Alto, CA. You will own copper and optical interconnect development, from design through deployment, partnering with vendors and ML teams to meet performance, power and cost targets.

The role emphasizes deep expertise in SerDes, fiber optics, and system-level integration, with opportunities to influence roadmaps and contribute to automation and