Job Title

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering 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 lifecyclefrom cuttingedge research and development to commercial deploymentand 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 KVCache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels). Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, TritonInference server, Dynamo, LLMd). 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 and routing. Engage with opensource serving communities to evolve the framework. Candidates For This Position Will Demonstrate The Following Handson experience in one or more of the following LLM serving/Orchestration packages (TritonInference Server, vLLM, SGLang, Ollama, llmd, KServe, LMCache, MoonCake) Deep understanding of foundational LLMs, VLMs, SLMs, transformerbased architectures. Strong experience in developing language models using PyTorch. Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming. Understanding of computer architecture, ML accelerators, inmemory processing and distributed systems. Strong Python development skills for largescale 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 problemsolving skills, with the ability to thrive in a fastpaced and collaborative environment. MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering. Bonus Skills Opensource contribution to any GenAI package. Experience architecting and developing largescale distributed systems. Highlevel kernel design experience (PyTorch, CUDA, Triton). Knowledge of torch.compile or torchDynamo PhD in Computer Science, Computer Engineering or Machine 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. 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. 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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Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay Range And Other Compensation & Benefits $158,400.00 - $237,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on salesincentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr