generative-ai jobs in San Diego

Senior Software Engineer with 6+ years of experience to design, develop, and implement AI-assisted web-based applications that integrate with custom embedded systems. The role requires expertise across multiple languages (Python, JavaScript/TypeScript, Go, C/C++, Rust, C#), Linux systems, web UI development, and network software engineering (TLS/HTTPS).…See more Responsibilities include writing requirements and test documents, executing tests, and interfacing with customers on design reviews.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Staff-level engineer leading technical vision and architecture for the Resident Concierge product, a SaaS platform for property managers and residents. Responsible for designing and scaling distributed systems to handle 10x traffic growth, mentoring engineers, and collaborating with product, design, and ML teams to integrate generative AI capabilities.…See more Requires 8+ years building and scaling web applications, proven leadership on high-stakes projects, and hands-on experience adopting AI tools; will own the full lifecycle from discovery through production.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

Lead complex contact center routing initiatives end-to-end for Intuit's GBSG business unit, from stakeholder discovery through Amazon Connect configuration, deployment, and production monitoring. Design and execute advanced routing strategies using CUP/CUE platforms, manage multi-region Amazon Connect environments, and analyze routing performance across channels using QlikSense, Splunk, and Databricks.…See more Serve as a routing and platform subject matter expert, provide guidance on design tradeoffs, and manage P0 incidents within SLA. Proactively apply generative AI tools to accelerate analysis, configuration work, and team workflows.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Senior Developer role focused on developing new AI applications from concept to production within Dell's Office of the CTO. You'll work on small cross-functional teams using pair programming and agile methodologies, rotating through different projects and technologies across the full stack.…See more Required: strong programming fundamentals, proficiency in Go, Python, Java, JavaScript, C++, Bash, or similar languages, plus interest in DevOps practices (microservices, CI/CD, containerization), generative AI, and MLOps. Desired: 5+ years of software development experience, data engineering skills, and familiarity with GenAI frameworks like LangChain.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

Develop prototype AI/ML solutions for ASIC design automation at NXP, exploring state-of-the-art techniques like GenAI, reinforcement learning, graph neural networks, and CNNs to improve VLSI CAD workflows. The role involves collaborating with architecture, IP, and SoC design teams to evaluate and pilot automation applications on leading-edge semiconductor technologies.…See more Candidates must have 5+ years of AI/ML expertise, strong Python/C++ programming skills, and hands-on experience with Unix/Linux, Git, and software development tools. Understanding of VLSI design constraints, EDA tools, and physical design flows is highly desirable.

Design, architect, and deploy on-device AI prototype software for edge computing applications at Qualcomm's AI Research division. You will work with modern deep learning frameworks (PyTorch), optimize neural network models for embedded deployment, and integrate cutting-edge AI technologies into mobile, IoT, and autonomous systems.…See more The role requires strong Python and C/C++ skills, deep learning expertise, embedded software development experience, and solid software engineering fundamentals.

Qualcomm seeks a Staff Machine Learning Engineer to design and deploy AI/ML-based automation solutions for automotive cybersecurity and functional safety engineering workflows. The role involves building intelligent systems for document understanding, compliance automation, and engineering productivity, leveraging LLMs, GenAI, and agentic AI frameworks.…See more You will develop scalable end-to-end automation pipelines, contribute to knowledge systems and RAG platforms, and apply ML to security analysis and process optimization across the full product development lifecycle. The ideal candidate has 5+ years of ML/AI experience, strong programming skills in Python or C++, and familiarity with automotive cybersecurity standards such as ISO/SAE 21434.

Sr. Staff Software Engineer role designing and developing Multimedia, AI, and Gen AI SDKs/framework components for IoT products including drones, cameras, and media devices.…See more Requires 6+ years of software engineering experience with 3+ years in C, C++, Java, or Python, with strong preference for deep embedded systems expertise, real-time solutions, and AI/ML inference frameworks. Responsibilities include leading architecture and development of GStreamer-based SDKs, driving feature design across diverse product categories, and providing technical leadership on code quality and cross-functional collaboration.

Senior ML engineer role focused on architecting, designing, and deploying on-device AI prototype software at the edge. Requires strong Python and C/C++ skills, deep learning expertise (PyTorch), and embedded software development experience.…See more The role involves model fine-tuning, quantization, hardware acceleration, and inference optimization for deployment on smartphones, autonomous vehicles, IoT, and robotics platforms. Must have 3+ years relevant experience and a strong theoretical ML background combined with modern software engineering practices.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

Lead a team of Databricks engineers delivering GenAI and LLM solutions to government clients. You'll architect and deploy production-scale data platforms, mentor engineers, and translate business requirements into AI solutions using Databricks' full stack (Lakehouse, Agent Bricks, Model Serving, Genie, Apps).…See more Enforce strong data management, CI/CD, testing, and documentation practices while working across AWS, Azure, and Google Cloud environments.

Senior Forward Deployed Engineer at Deloitte GPS building AI-enabled solutions and agentic platforms on Databricks for enterprise government clients. Requires 7+ years software/data engineering experience, 5+ years deploying GenAI/LLM solutions in production, and 5+ years hands-on Databricks expertise across Lakehouse, Agent Bricks, Model Serving, and Genie.…See more Mentors junior engineers, designs scalable AI patterns with human-in-the-loop controls, delivers production-quality code with strong CI/CD and testing practices, and translates complex business problems into deployable AI solutions.

Develop and optimize machine learning software for Qualcomm's AI Stack SDKs (QAIRT, Genie), enabling efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Design core runtime components for resource-constrained AI systems, validate performance/accuracy across use cases, and debug complex issues in embedded AI environments.…See more Requires C/C++ proficiency, Linux development experience, and strong software engineering fundamentals; 2+ years experience for senior roles, project/internship experience for entry-level. Preferred: embedded systems background, generative AI model familiarity, hardware acceleration knowledge, and experience with Qualcomm AI Stack products.

Qualcomm seeks a Software Test Engineer to validate on-device AI solutions across mobile, PC, and automotive platforms, with emphasis on generative AI models (LLMs, LVMs, LoRA, agentic workflows) and system-level performance across SoC components (CPU, GPU, DSP, NPU). The role involves designing end-to-end validation workflows, developing test automation frameworks in Python/Java/Shell, analyzing model outputs for accuracy and robustness, and conducting stability and performance testing.…See more Candidates should have 1–3+ years of software testing or AI validation experience (or be fresh graduates with strong AI/ML fundamentals), proficiency in Python, Java, and Linux, and solid understanding of AI inference, RAG systems, and multi-step reasoning pipelines.

As a Software Engineer focused on Edge AI/Gen AI, you will design, develop, and validate embedded and cloud edge software applications for Qualcomm's cutting-edge products. You'll implement small software features, participate in coding, unit testing, debugging, and code reviews while collaborating with systems, hardware, and architecture teams.…See more The role requires proficiency in languages such as C, C++, Java, or Python, along with experience in source code management, APIs, and database systems. You will work under supervision on tasks that involve multiple steps, planning, and problem-solving to meet project deadlines.

Principal-level AI/ML Platform Architect responsible for designing and optimizing AI/ML systems across Qualcomm's hardware and software stacks, particularly for Windows PC/Laptop platforms. The role requires deep expertise in performance optimization, bottleneck analysis, and end-to-end system characterization across GPUs, NPUs, and multiple AI domains (computer vision, audio, generative AI, agentic AI).…See more Candidates must demonstrate 15+ years in high-performance computing systems engineering with 5+ years specifically in AI system optimization, and will interface with cross-functional teams to deliver reference implementations, tools, and documentation for third-party developers.

This Technical Program Manager role manages the integration of Agentic AI into Qualcomm's engineering infrastructure, focusing on governance, security, and platform enablement. You will coordinate across GSOC, Qualcomm AI Foundations, Cybersecurity, and engineering teams to define requirements, track milestones, and align roadmaps for AI asset management and deployment.…See more The position requires driving cross-functional initiatives that bridge AI platform capabilities with security, compliance, and operational readiness while communicating progress to technical and executive stakeholders.

Staff Software Engineer responsible for developing and leading the Qualcomm AI Stack software platform, including the QAIRT SDK and Generative AI Inference Extensions (Genie). The role focuses on researching state-of-the-art AI toolchains, performance and memory profiling for Edge-AI on embedded SoCs, and optimizing machine learning model execution on Snapdragon platforms across multiple operating systems.…See more You will lead software toolchain development, conduct system-level benchmarking, validate ML use cases, debug complex issues, and provide technical guidance to junior engineers while collaborating across cross-functional teams.

Principal Systems Architect responsible for defining and maintaining the technical architecture of a complex enterprise automation ecosystem spanning RPA, Machine Learning, and GenAI. Will architect data pipelines integrating diverse enterprise systems (SAP, ERP, QMS, PowerBI, Windchill, Atlassian), provide technical leadership on workflow automation and DevSecOps infrastructure, and ensure end-to-end cybersecurity compliance with DoD standards and CMMC.…See more Role requires 14+ years of progressive IT systems architecture experience, demonstrating systems engineering expertise in complex data integration, AI/ML automation, and secure deployment across engineering, manufacturing, quality, and finance domains.