[ engineering ]

Research Engineer, Training & Inference

Harmonic
Location
Not specified
Work mode
On-site
Type
full time
Listed

Applications go directly to Harmonic. Ramai takes no fee for placement and no money for ranking.

[ About this role ]

Research Engineer, Training & Inference at Harmonic. This role involves owning and optimizing the entire reinforcement learning stack, from low-level simulators to distributed training and inference engines. The focus is on maximizing throughput for foundation model workloads through refactoring and performance tuning.

Skills and focus areas

  • reinforcement learning
  • distributed systems
  • high-performance computing
  • inference optimization
  • training optimization
  • cuda programming
  • python

Summary written by Ramai from the original posting. Full details and requirements are on Harmonic’s careers page.

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