VP, Large-Scale ML Training & Performance Engineer
Testing Site - JPMC
JPMorgan Chase’s Global Technology Applied Research (GTAR) center is seeking a senior engineer to design, optimize, and scale large‑model pretraining workloads across hyperscale accelerator clusters. This hands‑on role focuses on distributed systems, kernel optimization, and end‑to‑end training performance, with impact on throughput and cost. The candidate will design parallelism layouts, memory strategies, and inter‑node data movement, while partnering with hardware and software teams to #J-18808-Ljbffr Testing Site - JPMC
Vacancy posted 1 day ago
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