[ engineering ]
Staff Ml Performance Engineer (training Efficiency)
Wayve- Location
- Sunnyvale
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Wayve. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Wayve is seeking a Staff ML Performance Engineer to optimize large-scale ML jobs for training efficiency. The role involves profiling ML workloads, designing and implementing efficiency improvements, and developing observability and benchmarking tools to accelerate model training.
Skills and focus areas
- ml performance engineering
- training efficiency
- ml workload profiling
- bottleneck identification
- mfu optimization
- throughput maximization
- parallelism
- model compilation
- mixed precision
- observability tools
- benchmarking tools
- performance optimization
Summary written by Ramai from the original posting. Full details and requirements are on Wayve’s careers page.
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