Engineering Manager - Inference Performance

Added
4 days ago
Type
Full time
Salary
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Related skills

pytorch cuda tensorrt gpu inference

๐Ÿ“‹ Description

  • Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear
  • Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as
  • Own the technical roadmap and execution for runtime performance work, balancing customer needs, new
  • Stay close to the technical work. Review designs, guide profiling and optimization efforts, and
  • Drive the productionization of inference techniques such as quantization, speculative decoding
  • Turn performance wins into measurable outcomes: tokens per GPU-hour, utilization, latency and cost.

๐ŸŽฏ Requirements

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related
  • Experience managing engineers, including hiring, mentoring, giving feedback and running performance
  • Experience leading or closely supporting GPU optimization teams in training, inference or
  • Strong technical depth in GPU workloads, with a solid understanding of GPU architecture and
  • Familiarity with ML libraries such as PyTorch, TensorRT or TensorRT-LLM.
  • A track record of driving roadmaps and shipping complex technical projects with a team.

๐ŸŽ Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • (U.S. only) Company-facilitated 401(k)
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