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Software Engineer: ML Optimization

United States, San Mateo 200000.00 - 350000.00 USD / Year · Job Posted February 18, 2026
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Job Description

We internally call this team MBMB (More Big More Better). You will own optimizations on both the training and on-robot inference stacks. We are still in a regime of step-function, not incremental, gains.

Job Responsibility

  • Making GPUs go brrrrr
  • Implementing ML, hardware, and software changes that lead to step-function gains
  • Optimizing both the inference and training stacks

Requirements

  • Proficient and stay current with the latest ML techniques for training and inference optimizations in transformer and diffusion based architectures
  • Will chase ML optimizations anywhere: From the CUDA kernels, to ML architecture, to frontend or backend network bottlenecks, CPU bottlenecks, NVLink and comms, to torch, numpy, and Python inefficiencies

What we offer

Offers Equity

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