GPU Networking Engineer — RDMA/NVLink Fabric

Thinkingmachines; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, and vision benefits

Paid parental leave

Relocation support

Job summary

Thinkingmachines is seeking a network engineer to manage the lowest layers of the network stack pivotal for training and inference. You will ensure interconnect reliability for our large-scale GPU fabrics.

The ideal candidate will have a degree in computer science or engineering, backend programming skills in Python or Rust, and experience with Kubernetes. The position offers a salary range of $350,000 to $475,000 USD.

Benefits include health, dental, vision insurance, and unlimited PTO.

Qualifications

• Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
• Experience operating large-scale clusters and container orchestration systems.
• Comfort operating across the stack and owning projects end-to-end.

Responsibilities

• Validate GPU network fabric design across deployments.
• Debug RDMA / RoCEv2 and diagnose production failures.
• Build network instrumentation and alert systems.

Skills

Backend programming proficiency (Python or Rust)

Experience with container orchestration systems (Kubernetes or Slurm)

Host-level debugging on Linux

Education

Bachelor’s degree in computer science or engineering

Tools

NCCL

CUDA

Job description

Thinkingmachines is seeking a network engineer to manage the lowest layers of the network stack pivotal for training and inference. You will ensure interconnect reliability for our large-scale GPU fabrics.

The ideal candidate will have a degree in computer science or engineering, backend programming skills in Python or Rust, and experience with Kubernetes. The position offers a salary range of $350,000 to $475,000 USD.

Benefits include health, dental, vision insurance, and unlimited PTO.