Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
We’re seeking a Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
- Extensive experience deploying and operating RDMA and RoCEv2 networks in large-scale production environments supporting AI or HPC workloads
- Advanced knowledge of switching hardware and NOS, such as Arista, Juniper, and custom solutions using SONiC, including high-speed Ethernet fabrics
- Proven hands-on experience with congestion management and performance tuning using PFC, ECN, and DCQCN
- Strong experience with high-speed optics and cabling including 400G, 800G, AEC, AOC, DAC, and structured cabling at scale
- Strong automation mindset, with experience using Python, Ansible, Terraform, Git, and production observability tooling
More about this role
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We’re seeking a Staff Network Engineer (L6/L7) focused on designing, scaling, and optimizing large-scale RoCEv2 data center networks powering next-generation AI and ML infrastructure.
You’ll work closely with network architects and infrastructure leadership to execute network designs and ensure operational stability as we scale cluster sizes to over 100,000 GPUs. You will drive multi-team technical direction, influence cross-functional outcomes, and own critical components of network performance and reliability. You’ll remain hands-on with high-speed optics, switching, routing, and congestion management in production clusters, while developing the standards and automation tooling that other engineers build and operate against.
Set multi-team technical direction and influence cross-functional network architecture decisions to ensure seamless infrastructure...
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