Senior Network Performance Exploration Engineer

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.
What Youll Be Doing:
Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.
Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.
Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware conf

דרישות:

B.Sc. or M.Sc. degree in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
5+ years of relevant industry or research experience in high-performance computing, computer architecture, or computer networks.
Hands-on programming skills in Python and/or C/C++ for system analysis, automation, and customizing benchmarks.
Excellent understanding of large-scale system behavior and the effect of distributed computing workloads on network and system performance.
Proven experience in performance analysis, benchmarking, and identifying system bottlenecks.
Exceptional analytical, problem-solving, and systems-thinking skills, with the ability to dive deep into complex software and hardware interactions.
Ability to thrive in a a fast-paced, dynamic environment and work concurrently with multiple cross-functional teams.
Ways To Stand Out From The Crowd:
Deep understanding of and hands-on experience with communication libraries such as NCCL, UCX, or MPI.
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