> Markdown version of [/jobs/ext/3762324-ai-system-performance-benchmaking-engineer-w2-profiles-onsite](https://www.wearedevelopers.com/jobs/ext/3762324-ai-system-performance-benchmaking-engineer-w2-profiles-onsite). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI System Performance & Benchmaking Engineer -- W2 Profiles -- Onsite - **Company:** Trebecon LLC - **Location:** Atlanta, GA, United States - **Contract:** Contract - **Skills:** Linux, Intrusion Detection Systems, Python (Programming Language), Linux Kernel, Online Transaction Processing, SQLite, Large Language Models, Perf (Linux), Reasoning Engines, Docker - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/eb5e14a7-7c36-4cbf-91d1-de923684eb2c ## About the Role * Python, Linux internals, Docker, cgroups and Linux perf tools. * Hardware profiling. * SQLite and OTLP/OpenTelemetry exporters. * Benchmarking LLMs or agents, including inference engines and runtime configurations. Nice to have: * Xeon platform tuning. * Terminal-Bench. * Experience with AgentSysPerf itself. ## Description * Review AgentSysPerf's architecture end to end: benchmark adapters, measurements, analyzers, storage, replay, reporting and dashboards. * Review state persistence, container lifecycle, concurrency and the AgentInvoker protocol implementation. * Integrate up to 4 new agentic benchmarks (e.g., τ-bench, BrowseComp, GAIA, BFCL). This includes configuration, CLI execution, model/runtime integration, metrics capture and results persistence. * Measure latency, throughput and resource use on Intel hardware. * Improve run variance, repeatability, fault handling and SQLite write concurrency during large sweeps. * Add new schema fields (policy hashes, topology IDs, route decisions, resource placement) to the storage and telemetry pipelines.