We are looking for an AI Inference to join our growing team. Our current stack is Python, C++, TensorRT-LLM, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference.

Responsibilities

• Develop APIs for AI inference that will be used by both internal and external customers
• Benchmark and address bottlenecks throughout our inference stack
• Improve the reliability and observability of our systems and respond to system outages
• Explore novel research and implement LLM inference optimizations

Qualifications

• Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
• Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)
• Experience with deploying reliable, distributed, real-time model serving at scale
• (Optional) Understanding of GPU architectures or experience with GPU kernel programming using CUDA

The cash compensation range for this role is $190,000 - $240,000.