Network Architect
3 weeks ago
AI-Infra Network Architect Job Description
We seek a highly motivated Senior AI Network System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing.
What Youll Be Doing:
- Investigating emerging technologies and methodologies in ML and AI to discern their interactions with network infrastructure.
- Executing workloads on AI systems, conducting profiling, and analysing bottlenecks and possible enhancements.
- Conducting research and implementing optimizations for communication libraries like NCCL and UCX.
- Spearheading the conceptualization of next-generation networking products tailored to support and accelerate state-of-the-art ML workloads.
- Experience on network engineering and fine tuning to support models simulations, analyse simulation results, and optimization algorithms.
- Collaborate with multi-functional teams, including other architecture teams, logic design, system software, firmware, and ML research teams, to ensure the successful execution of the project.
What We Need to See:
Extensive expertise in ML/AI workloads, particularly in distributed training.
Excellent understanding of large-scale network behaviour and the effect of distributed computing workloads on the network.
Experience in the development of simulation environments.
Great problem-solving and critical-thinking skills.
Ability to thrive in a fast-paced and dynamic environment is necessary.
Ability to work concurrently with multiple groups in the organization.
Ways to Stand Out from The Crowd:
Knowledge of communication libraries such as NCCL, UCX, and UCC.
Good knowledge of network protocols - such as InfiniBand, IP, TCP, RoCE, and network topologies.
Awareness of Python, C++, and dockers.
Expertise in system engineering, operations research, and intricate hardware-software integrated systems.
Demonstrated experience in DLRM, LLM or other generative AI.
M.Sc, or Ph. D degree in Computer Science, Computer Engineering, or Electrical Engineering.
At least 2+ years of industry or research experience in computer networks.
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