7 дней назад
AI Framework Engineer - QA & Benchmarking
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Framework Engineer - QA & Benchmarking (Python/LLM): Building automated QA flows and end-to-end benchmarks for PyTorch, vLLM, and SGLang with an accent on agentic testing, hardware validation, and performance regression tracking. Focus on designing LLM-driven bug detection, reproducing latency and throughput issues, and integrating tests into CI/CD pipelines.
Location: On-site in Shanghai, China
Company
develops technology for grocery commerce and delivery.
What you will do
- Design and build automated QA flows using LLMs and agents to detect, triage, and report framework and hardware bugs.
- Run, maintain, and expand end-to-end benchmarks, unit tests, and microbenchmarks for PyTorch, vLLM, and SGLang.
- Validate latency, throughput, and functionality across different hardware platforms.
- Track and reproduce performance regressions.
- Document bug reproduction steps and integrate tests into CI/CD pipelines.
Requirements
- Bachelor’s or master’s degree in software engineering or a related field.
- Proficiency in Python.
- Basic understanding of deep learning, Transformer models, and standard model execution flows.
- Comfort working in Linux, using Bash shell scripting, and managing code with Git.
- College graduate suitable for an entry-level engineering role.
Nice to have
- Hands-on experience or coursework with PyTorch, vLLM, or SGLang.
- Experience building basic LLM applications, scripts, or agent workflows using LLM APIs or frameworks such as LangChain.
- Knowledge of unit testing, regression testing, or CI/CD tools such as GitHub Actions.
- Familiarity with Docker or profiling tools such as PyTorch Profiler.
Culture & Benefits
- Full-time employment.
- Shift 1 working schedule in China.
- On-site work model.
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