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Member of Technical Staff

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Hybrid (San Francisco, CA)$180k - $350kFull-timePosted 2mo ago

About the role

Morph is building high-margin inference infrastructure and expects a founder-led, highly capable candidate to optimize production AI systems. The role focuses on closing gaps between theoretical hardware performance and production metrics, optimizing latency, throughput, and various aspects of model serving at scale.

Responsibilities

  • Find the gap between theoretical hardware performance and production performance
  • Trace latency and throughput regressions from the API layer down to individual kernels
  • Optimize batching, scheduling, routing, quantization, and distributed execution
  • Work on new research directions around caching
  • Work with NVLink and RoCE
  • Validate that every optimization preserves model quality and correctness

Qualifications

  • 6+ years of experience (as per job description)

Skills

Required:GPU performancePythonCuTEdslCode optimization for production systems
Last updated Oct 14, 2026. Interested? Apply on the company site.
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