1 day 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, knowledge-grounded, self-improving, and multi-agent architectures.
- 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 AI agents.
- Develop orchestration frameworks for collaborative agent workflows and intelligent task automation.
- Collaborate with cross-functional teams to identify opportunities and deliver scalable AI solutions.
- Research advancements 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 Python programming skills and experience with PyTorch and TensorFlow.
- Practical experience deploying and fine-tuning LLMs.
- Experience with vector databases, embedding models, RAG architectures, and LLM frameworks such as LangChain, LlamaIndex, and Transformers.
- Familiarity with AWS, GCP, Azure, containerization, microservices architecture, ML operations, and model deployment pipelines.
- Background in reinforcement learning, prompt engineering, chain-of-thought techniques, and AI ethics or responsible AI development.
- Open-source AI contributions are preferred.
- Strong problem-solving, analytical, communication, collaboration, prioritization, and code-quality skills.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
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.