Sr Staff Software Developer – AI Platforms Engineer

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:We’re seeking a skilled Software Developer to design and build generalized AI-driven solutions, such as Retrieval-Augmented Generation systems, Agent orchestration frameworks, that harness our AI accelerator chips. You’ll work with Rust and Python to develop robust, scalable applications, leveraging your expertise in AI, large language models (LLMs), neural networks, and databases. This role requires a strong background in AI application development and a passion for staying current with the latest advancements in the AI landscape.Minimum Qualifications:Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.3+ years of work experience with programming languages such as C, C++, Java, Python, etc.Key ResponsibilitiesDesign and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators.Build high-performance, scalable applications using Rust for systems-level efficiency and Python for rapid prototyping and tegrate and optimize large language models (LLMs) and neural network architectures into production-ready software.Collaborate with cross-functional teams to define requirements and implement AI-driven features.Work with databases (e.g., SQL, NoSQL) to manage and retrieve data efficiently for AI applications like RAG.Stay informed on the latest trends in AI, LLMs, neural networks, and related technologies to drive innovation.Write clean, maintainable, and well-documented code adhering to best practices.Troubleshoot and optimize AI applications for performance, reliability, and scalability.Contribute to the creation of reusable libraries and frameworks for AI development.What We’re Looking ForExperience building AI applications, with a focus on practical, production-grade solutions.Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting.Solid understanding of large language models (LLMs), their mechanics, and their real-world applications.Familiarity with neural network architectures and how they power modern AI systems.Experience with conventional databases and vector databases (e.g., PostgreSQL, MongoDB, OpenSearch, Qdrant).Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks.Ability to stay current with the fast-evolving AI landscape, including advancements in LLMs and neural networks.Strong problem-solving skills and a creative approach to building generalized solutions.Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).Nice-to-HavesExperience with AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Familiarity with hardware-accelerated AI (e.g., GPUs, TPUs, or custom accelerators, FPGAs).Prior work with APIs or microservices for AI integration.EEO / BenefitsQualcomm is an equal opportunity employer. Qualcomm is committed to providing an accessible process for individuals with disabilities, including accommodations during the application/hiring process. The company is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range and other compensation details are provided as a separate part of the job posting and may vary by location.Pay range: 162,600.00 - 244,000.00. This range reflects the broad pay scale for the job code and location. Salary is one component of total compensation, which may include annual discretionary bonuses and RSU grants. Benefits details are provided by the recruiter and on the Qualcomm careers site. For more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Created: 2025-09-17