29 days ago
San Diego, CA, USASenior
Base Salary
$115k - $172k/yr
Responsibilities
- Design and implement Agentic AI systems for autonomous reasoning, planning, tool use, and multi-step execution.
- Build and optimize RAG, hybrid AI, and knowledge-grounded architectures using enterprise data, tools, and domain context.
- Develop self-improving agents using feedback loops, reflection, reinforcement learning techniques, automated evaluations, memory systems, and continuous learning frameworks.
- Apply LLM post-training techniques including supervised fine-tuning, preference optimization, reinforcement learning, distillation, and domain adaptation.
- Create evaluation, benchmarking, observability, and safety frameworks for agent quality, reliability, efficiency, and business impact.
- Build and maintain multi-agent systems and orchestration frameworks for collaborative agent workflows and task automation.
- Collaborate with cross-functional teams to identify opportunities and deliver scalable AI solutions.
- Track advances in Agentic AI, reasoning models, post-training, model routing, autonomous agents, and enterprise AI architectures.
Requirements
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Strong programming skills in Python and experience with PyTorch and TensorFlow.
- Practical experience with LLM deployment and fine-tuning.
- Experience with vector databases and embedding models.
- Strong understanding of RAG architectures and implementation.
- Familiarity with AI/ML infrastructure and AWS, GCP, or Azure.
- Preferred experience with LangChain, LlamaIndex, and Transformers.
- Preferred knowledge of prompt engineering, chain-of-thought techniques, containerization, microservices architecture, reinforcement learning, open-source AI contributions, MLOps, and model deployment pipelines.
- Strong problem-solving, analytical, communication, collaboration, prioritization, and code-quality skills, plus understanding of AI ethics and responsible AI development.
Benefits
- Annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- The posting provides a base pay range of $114,500.00–$171,700.00 and directs candidates to Qualcomm’s US benefits information.
- No remote or hybrid work arrangement is stated.
Tech Stack
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.