- Design realistic technical scenarios and problem sets in LLM inference optimization, GPU kernel design and systems performance engineering.
- Write reference solutions for those scenarios.
- Grade model outputs on real systems-engineering problems.
Requirements
- Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or a related field.
- Strong, hands-on background in one or more of GPU inference optimization, custom CUDA kernel development, model-serving systems (such as vLLM, TensorRT-LLM or SGLang), quantization or optimizer design.
- Experience at a recognized technology or AI company, in a role with real systems-engineering ownership.
- Strong written communication.
Application Process
- Easy Apply on LinkedIn
- Check your messages for next steps
- Complete the short application