Backend Software Engineer - Inference Optimization

iciency in evaluating and using algorithm applications across various business scenarios, and reduce the cost of managing and optimizing algorithm applications in different business scenarios.
2. Be responsible for the architectural design, development, and performance tuning of algorithm applications, solving technical challenges such as high concurrency, high reliability, and high scalability. Work includes multiple sub-areas: resource scheduling, task orchestration, model training, model inference, model management, dataset management, workflow orchestration, etc.
3. Be responsible for researching and introducing cutting-edge engineering technologies related to algorithms.

Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering or equivalent practical experience
• Master at least one of the following languages in Linux environment: C/C++, Python, Go
• Master at least one state-of-the-art machine learning framework (e.g., Tensorflow, Pytorch);
• Strong analytical abilities and problem solving

Preferred Qualifications:

• Have experience working in large scale tech companies.
• Familiar with model optimization algorithms like quantization and pruning.
• Practical experience in performance optimization/tuning of deep learning model training/inference.
• Practical experience in CUDA programming and TensorRT
• Familiar with LLM model inference framework like VLLM and TensorRT-LLM