Software Engineer, Core Network Engineering

Highlights

• Build networking foundation behind frontier AI training and inference systems.
• Ensure networking is never the bottleneck to model training efficiency.
• Work where microseconds of latency directly impact AI performance.

What they offer

• Equity

Ideal candidate

Systems-minded engineer who loves working close to hardware and debugging performance-critical infrastructure at massive scale, motivated by accelerating frontier AI research.

Requirements

• Have experience building or operating large-scale networking or distributed systems infrastructure
• Are comfortable working close to the hardware/software boundary
• Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software
• Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics
• Have experience with datacenter networking, WAN systems, or host networking stacks
• Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack
• Are comfortable writing production software in languages such as C++, Python, or Go
• Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering