We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, Py Torch, Triton, CUDA, 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. Py Torch, Tensor Flow, ONNX)

• Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)

• Understanding of GPU architectures or experience with GPU kernel programming using CUDA

Final offer amounts are determined by multiple factors, including, experience and expertise.

Equity: In addition to the base salary, equity may be part of the total compensation package.