AI Inference Engineer

Perplexity•Palo Alto, CA

fulltime

Engineering and Information Technology

5+ years

About the role

We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, 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. PyTorch, TensorFlow, 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

Compensation Range: $220K - $405K

Similar Opportunities

About Perplexity

Visit Website