Sr. Inference Optimization Engineer (local / edge runtime)
USA - CA - Santa Clara, United States
USD 195K-361K Senior-level Full Time
Tasks
- Benchmark across hardware tiers and publish performance comparisons
- Drive quantization strategy and validate quality impact
- Profile and optimize local inference engines for latency throughput memory
- Reduce CPU overhead and improve engine startup model load lifecycle
- Tune KV cache continuous batching and scheduling for interactive workloads
- Upstream fixes and patches to open source inference engines
Perks/Benefits
Skills/Tech-stack
AWQ | Batching | Build systems | C++ | CPU Kernels | CUDA | Decoding | GPTQ | GPU Programming | Ggml | Gguf | KV cache | LLM Inference | Latency optimization | Linux | Llama.cpp | Low Level Debugging | Memory Optimization | OneAPI | Profiling | Python | Quantization | SIMD | SYCL | Scheduling | Throughput Optimization | VLLM | Vulkan
Education
Regions
Countries
States
Cities
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