Serving engineer cloud engineering senior / staff engineer

This roleinvolves thefollowing activities:

• Building ascalableLLM inference platform using inference techniques (e.g.disaggregated servingandKV-Cache management,advancedparallelism,speculative algorithms,model optimization,specialized kernels).

• Contribute to the development of LLM Servingpackages (e.g.vLLM,SGLang, TGI, Triton-Inferenceserver,Dynamo, LLM-d).

• Work closely with customers to drive solutions by collaborating with internal compiler,firmwareand platform teams.

• Workattheforefront ofGenAIby understanding advanced algorithms (e.g.attention mechanisms,MoEs)andnumericstoidentifynew optimization opportunities.

• Driveefficient servingthrough smart autoscaling,load balancingandrouting.

• Engage withopen-sourceserving communitiesto evolvetheframework.

Candidates for this position willdemonstratethe following:

• Hands-on experience inone or moreof thefollowingLLM serving/Orchestrationpackages(Triton-Inference Server,vLLM,SGLang,Ollama,llm-d,KServe,LMCache,MoonCake)

• Deep understanding of foundational LLMs,VLMs, SLMs,transformer-basedarchitectures.

• Strong experience in developinglanguagemodelsusingPyTorch.

• Strong computer science fundamentals - algorithms, data structures, parallel and distributedprogramming.

• Understanding of computer architecture,ML accelerators,in-memoryprocessinganddistributedsystems.

• Strong Python development skills for large-scale projects with passion for software engineering.

• Experience in analyzing, profiling, andoptimizingdeep learningworkloads.

• Proactive learning about the latest inference optimization techniques.

• Excellent communication and problem-solving skills, with the ability to thrive in afast-pacedand collaborativeenvironment.

• MSin Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.

Bonus Skills:

• Open-source contribution to anyGenAIpackage.

• Experience architectinganddeveloping large-scale distributed systems.

• High-level kernel design experience (PyTorch, CUDA, Triton).

• Knowledgeof torch.compileortorchDynamo

• PhDinComputer Science,ComputerEngineeringorMachine Learning

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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