Remote AI Inference Benchmark Engineer

Silicon Data is seeking an AI Benchmark Engineer to build and run the inference performance side of SiliconMark. You will create automated, containerized benchmarking harnesses across engines and hardware, and own latency, throughput, and per-watt metrics.

This is a hands-on role requiring strong Python, experience with production inference engines (vLLM, TensorRT-LLM, SGLang, TGI), and deep knowledge of batching, KV cache, quantization, and parallelism. Remote work with ET overlap is offered.