Staff Software Engineer, Ml Performance & Systems
Fal- Location
- San Francisco
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Fal. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Staff Software Engineer, ML Performance & Systems at Fal in San Francisco. This role focuses on optimizing model serving architecture for generative media models, maximizing throughput, minimizing latency and resource usage, and developing performance monitoring tools. The engineer will collaborate with the Applied ML team and customers to ensure their workloads benefit from the company's accelerator.
Skills and focus areas
- systems programming
- performance optimization
- model serving
- inference engines
- performance monitoring
- profiling
- ml infrastructure
- model compilation
- quantization
Summary written by Ramai from the original posting. Full details and requirements are on Fal’s careers page.
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