AI/HPC Network Performance Engineer

What you'll do

• Build and operate networking systems for large-scale AI training jobs; research and deploy network technologies and topologies.
• Develop network automation for configuration, provisioning, monitoring, alerting, and remediation; provide guidance on network architecture and performance.
• Collaborate with hardware, software, and sourcing teams, and participate in on-call operations to improve network systems.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 8+ years of experience in system performance engineering, network infrastructure engineering, or a related field in large-scale distributed computing or HPC environments.
• 4+ years of experience working on networks supporting large-scale training workloads.
• Experience coding in Python, C++, or Go; designing, deploying, and operating datacenter networks at scale; network automation using software-defined networking; and working with IB/RDMA/RoCE networks.

Nice to have

• Understanding of RDMA congestion control mechanisms on IB and RoCE networks.
• Experience with scale-up and scale-out network fabric architectures.

Pay

$184,000/year to $257,000/year (base salary)

Tools

Python, C++, Go, IB, RDMA, RoCE

AI focus

Supports AI training and inference networks; integrates AI tools to improve workflows and demonstrates ongoing AI skill development and responsible, ethical AI practices.