Co-developing NIC software and communication paths with strategic, top-tier customers to enable and scale large AI superclusters
Designing and implementing high‑performance C/C++ components on Linux using DPDK, kernel-bypass techniques, and RDMA/RoCE
Developing and integrating kernel, driver, and NIC firmware features to improve throughput, latency, and reliability for AI workloads
Working closely with NCCL and distributed training teams to tune end-to-end collectives performance over NVIDIA networking at scale
Owning complex performance and functionality debug with customers and representing the team in cross-org architecture discussions

Requirements

12+ years overall experience in a similar or related systems / networking software role
A Bachelor’s, Master’s or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience)
Deep C/C++ expertise, strong Linux systems knowledge, and hands-on experience with kernel networking / RDMA / NIC drivers or DPDK
Proven experience developing and debugging network operating systems (NOS) and routing/switching protocols used in AI data centers (for example BGP, ECMP, EVPN/VXLAN)
Practical experience with DOCA, NIC firmware interfaces, or other hardware-accelerated networking stacks for large-scale systems
Excellent communication skills and a track record of effective collaboration with developers, partners, and customers in dynamic environments.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CC++LinuxDPDKRDMARoCEkernel networkingNIC driversnetwork operating systemsrouting protocols

Soft Skills

communicationcollaborationdebuggingproblem-solvingarchitecture discussions

Certifications

Bachelor’s degreeMaster’s degreePhD