AI Performance Optimization Engineer

United States - Remote R

USD 100K-150K Mid-level Full Time

@ B...

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Found 1d ago

Tasks

Apply compiler level optimizations with Triton XLA TorchInductor TVM
Build benchmark suites and regression frameworks
Collaborate with ML and platform engineering teams on standard pipelines
Document performance tuning playbooks
Evaluate new hardware and software offerings
Identify and eliminate bottlenecks in data loading model compute communication memory
Implement KV cache optimization continuous batching speculative decoding for LLM serving
Implement quantization sparsity pruning for efficient inference
Improve cost efficiency through model architecture hardware selection scheduling
Optimize AI training and inference pipelines for throughput latency cost
Optimize attention implementations with FlashAttention paged attention
Optimize data pipelines sharding and storage access patterns
Tune distributed training with tensor parallelism pipeline parallelism FSDP ZeRO sharding

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Engineering | Bachelor of Science | Master of Science

Roles

Regions

North America

Countries

United States

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