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Senior Systems Software Engineer, AI Networking
Не указаноПолная занятостьSystems Software DevelopmentElectronics Manufacturing
Join an advanced computing team developing distributed training and inference systems across AI applications, networks, drivers, firmware, and programmable infrastructure.
Обязанности
- Prototype end-to-end solutions that improve distributed training and disaggregated inference performance.
- Analyze and optimize communication flows across application, transport, and network layers.
- Develop system software spanning communication libraries, drivers, and firmware integrations.
- Collaborate with hardware, firmware, and SDK teams to co-design networking features.
- Validate and integrate prototypes into AI infrastructure and products.
Требования
- Bachelor’s, master’s, or doctoral degree in Computer Science or Electrical Engineering.
- At least five years of relevant experience or equivalent knowledge.
- Deep understanding of networking and communication internals, including NCCL, RDMA/RoCE, and congestion control.
- Hands-on experience integrating hardware, software, and firmware, with low-level programming in C or C++, kernels, and drivers.
- Background in distributed training systems such as PyTorch DDP, Megatron-LM, or DeepSpeed.
Будет плюсом
- Experience with programmable data planes such as P4, eBPF, DOCA SDK, or switch SDKs.
- Familiarity with NIC firmware scheduling, in-network computing, or congestion management.
- Contributions to open-source projects, academic papers, or performance benchmarking tools.
- Experience with AI factory architectures, distributed inference, or network telemetry.
- Evidence of innovation and leadership in turning prototypes into product features.