LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer

LLM Serving Engineer (Cloud AI Engineering)

Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. 

We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.

This role involves the following activities:

• Building a scalable LLM inference platform using inference techniques (e.g.disaggregated serving and KV-Cache management,advanced parallelism,speculative algorithms, model optimization, specialized kernels).

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

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

• Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.

• Drive efficient serving through smart autoscaling, load balancing androuting.

• Engage with open-sourceserving communitiesto evolvethe framework.

Candidates for this position will demonstrate the following:

• Hands-on experience in one or more of thefollowing LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)

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

• Strong experience in developinglanguage models using PyTorch.

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

• Understanding of computer architecture,ML accelerators,in-memory processing anddistributed systems.

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

• Experience in analyzing, profiling, and optimizing deep learning workloads.

• Proactive learning about the latest inference optimization techniques.

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

• MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.

Bonus Skills:

• Open-source contribution to any GenAI package.

• Experience architecting and developing large-scale distributed systems.

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

• Knowledge of  torch.compile or torchDynamo

• PhD in Computer Science, Computer Engineering orMachine Learning