Staff Software Engineer owning the data platform that powers AI - driven healthcare automation. Responsible for designing data models and ensuring compliance while boosting reliability and scalability.
About the role
- Senior Software Engineer developing NIC software and communication paths for large AI superclusters. Collaborating closely with customers and tuning system performance on NVIDIA's networking stack.
Responsibilities
- 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
- Competitive salaries
- Generous benefits package
- Equity opportunities
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