ai jobs in San Diego

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks.…See more Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.

Digital Test Engineers will create test solutions for Qualcomm silicon validation, characterization, and manufacturing enablement across microprocessors, high-speed I/O, logic, and memory IP. The role involves hands-on work with test equipment (oscilloscopes, spectrum analyzers, logic analyzers, network analyzers), signal integrity analysis, and development using Python, Java, and Linux.…See more Candidates will support product introduction across multiple specializations including DFT/yield management, AI/ML-driven test development, and emerging areas like 2.5D/3D IC testing and photonic integrated circuits. The position requires a Bachelor's degree in Engineering or related field and 3+ years of hardware engineering experience.

Build and maintain software tools for automating deployment and testing of compute infrastructure while scaling critical services to support customer growth. Apply test-driven development principles and work toward continuous delivery goals.…See more Research and implement new open-source and commercial tools and technologies. Requires 5+ years of experience (or 3+ with a Master's degree) with strong Python and Linux systems architecture skills, hands-on infrastructure-as-code experience with Terraform, configuration management with Puppet, and understanding of Kubernetes and Docker containerization.

Lead the entire engineering team at a VC-backed AI trading firm, combining hands-on ML research and model development with technical leadership. Own the end-to-end development of production AI systems deployed in live financial markets, including model design, training, evaluation, and infrastructure.…See more Set technical direction across ML and software engineers, drive hiring and team development, and translate research into measurable real-world trading performance. Require 5–8 years of applied ML/AI experience with 3+ years managing full engineering teams.

Design, develop, and deploy end-to-end generative AI solutions including GenAI agents, LLMs, and applications to solve complex business challenges. Build data pipelines, design APIs for AI accessibility, and collaborate with cross-functional teams (developers, data scientists, business) to implement enterprise GenAI solutions.…See more Requires 4+ years of full-stack application development (Java, Python, JavaScript) and 3+ years with data structures, algorithms, and data stores. Stay current with AI research and communicate technical concepts to non-technical stakeholders.

Staff Software Developer who will design, develop, and maintain AI-enabled knowledge management and decision-support platforms for environmental and engineering applications. Responsibilities include building data ingestion workflows, implementing retrieval-augmented generation (RAG) systems with vector embeddings and semantic search, developing backend services and APIs, creating secure web-based UIs, and working with cloud services (Azure AI Search, Blob Storage, PostgreSQL).…See more The role requires strong software development skills demonstrated through a public code portfolio, familiarity with LLMs and prompt engineering, and the ability to collaborate across technical teams to translate project needs into practical features.