Overview

Company: Qualcomm Incorporated Job Area: Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary: We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning systems that power next-generation AI platforms and applications. This role focuses on model development, inference optimization, and scalable ML infrastructure, enabling production-grade AI capabilities across enterprise systems.The ideal candidate combines strong software engineering fundamentals with deep ML expertise, and thrives in building robust, high-performance systems at scale. Key Responsibilities Core ML System DevelopmentDesign and implement machine learning models and pipelines for production useBuild scalable training evaluation deployment workflowsDevelop reusable ML components, libraries, and frameworksInference & Performance OptimizationOptimize model inference for latency, throughput, and costImplement advanced techniques such as caching, quantization, batching, and routingBenchmark and profile models across diverse workloads and hardware environmentsModel Integration & DeploymentIntegrate ML/LLM models into APIs, microservices, and applicationsBuild and maintain model-serving infrastructure (e.g., vLLM, ONNX, custom runtimes)Collaborate with platform and infrastructure teams for scalable deploymentData & Pipeline EngineeringDesign data pipelines for ingestion, preprocessing, feature engineering, and validationImprove data quality and model reliability through systematic evaluationCross-functional CollaborationPartner with product, platform, and hardware teams to deliver end-to-end ML solutionsParticipate in design reviews and contribute to system architecture decisions Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORPhD in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go)Solid understanding of:Machine learning fundamentals (supervised, unsupervised, deep learning)Transformer architectures / LLMsModel evaluation and debuggingExperience with:ML frameworks (PyTorch, TensorFlow)Model deployment and serving systemsBuilding scalable software and APIsExperience with:Large Language Models (LLMs), multimodal models, or generative AIRetrieval systems and RAG pipelinesDistributed computing and GPU/accelerator environments including model serving and efficient cache/state management (e.g. KV cache, embeddings) across disaggregated systemsKubernetes, Docker, and CI/CD pipelinesAgentic and multi-step AI workflows, tool integration, orchestration, and multi-component pipelinesKnowledge of:Model optimization techniques (quantization, distillation, caching)Vector databases and search systems (OpenSearch, Qdrant, etc.)Cost-aware system design - model routing (small vs. large models), dynamic batching, and caching strategies Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for u