ML Infrastructure Engineer - New Grad

Job summary

Responsibilities

As a new grad ML Infrastructure Engineer, you'll write production Python for our inference serving stack, including our vLLM integration and public APIs. You'll help bring features like speculative decoding, prompt caching, and tool calling into production on the RDU, and add accuracy and…

• Implement inference features on the RDU such as speculative decoding, constrained decoding, tool calling, prompt caching, and long-context inference
• Adapt vLLM and related serving frameworks to the RDU architecture
• Build and maintain endpoints in the public inference API
• Write accuracy verification and regression tests for inference features
• Debug latency, throughput, and reliability issues in production services

What they're looking for

• B.S. in Computer Science, Electrical Engineering, or related field
• Strong programming skills in Python
• Understanding of algorithms, data structures, concurrency, and systems design
• Coursework or project experience in distributed systems or machine learning
• Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM

Tech stack

• Python
• vLLM
• PyTorch