ai jobs in San Diego

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Develop and optimize AI sample applications for Windows on Snapdragon, covering diverse AI models and use cases while integrating Snapdragon-optimized libraries. Create performance and accuracy diagnostics, documentation, and features for the Qualcomm AI toolkit to support third-party application developers.…See more Analyze agentic AI platforms on Snapdragon and competing devices, develop hybrid local-cloud AI experiences, and provide technical guidance on customer issues and project planning.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.

Design, develop, and optimize modem firmware and software for 5G-Advanced and early 6G protocol stacks, working across L1/L2/L3 layers to implement 3GPP-compliant features. Develop real-time embedded software on proprietary RTOS (QuRT) with strict latency and throughput constraints, and architect frameworks for resource management and AI-driven optimization.…See more Collaborate with systems, architecture, and hardware teams on modem integration, performance optimization, and field issue resolution using protocol logs and debugging tools.

BAE Systems seeks entry-level software engineers (Bachelor's or Master's degree expected by June 2027, <6 months experience) to develop C4ISR and geospatial intelligence applications for defense customers. You will apply Java, OOP, and software design principles in a collaborative, agile environment.…See more The role offers mentorship, onboarding, and exposure to full-stack development, cloud platforms, DevOps, and modern software architecture as part of a structured Year One program.

As a Machine Learning Engineer at Qualcomm, you will develop and optimize machine learning frameworks, tools, and algorithms for deployment across mobile, edge, automotive, and IoT products. You will collaborate with cross-functional teams to design hardware-software co-optimized solutions, build efficient inference and training systems, and create ML kernels and compiler tools.…See more The role requires proficiency in ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages like Python or C++, with experience in problem domains such as NLP or multimedia.

This role combines prompt engineering expertise with AI system governance and enterprise adoption strategy. The engineer will optimize LLM performance across platforms (OpenAI, Anthropic), design and configure AI agents and chatbots with knowledge grounding, and establish prompt governance frameworks and best practices.…See more Success requires 5+ years in AI/ML systems, 2+ years of hands-on prompt engineering, and demonstrated ability to evaluate AI performance, manage knowledge systems, and guide enterprise clients through AI tool adoption and deployment.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Design, develop, and optimize modem firmware and software for LTE, 5G-Advanced, and early 6G protocol stacks, implementing 3GPP-compliant features and real-time scheduling algorithms. Develop embedded software on proprietary RTOS (QuRT) with strict latency and throughput constraints, collaborate on modem bring-up and performance optimization, and resolve complex field issues using protocol logs and debugging tools.…See more The role requires strong C/C++ design skills, deep understanding of wireless communication principles (OFDM, MIMO, channel coding), real-time embedded systems expertise, and familiarity with AI/ML optimization techniques for adaptive modem behavior.

Qualcomm seeks a Senior AI Performance Architect to design hardware accelerator architectures optimized for AI training at scale. The role involves analyzing GPU/accelerator architectures, defining computational blocks supporting multiple datatypes and precisions, architecting memory and scale-out systems, and codesigning hardware with software/LLM requirements.…See more Responsibilities include competitive analysis, performance modeling, and pre-silicon prediction for ML training workloads. The ideal candidate spans software architecture, algorithm development, kernel optimization, and hardware accelerator design.

Build and scale evaluation harnesses and automation for AI-powered software development tools, turning real engineering artifacts into repeatable benchmark tasks. Develop versioned, reproducible processes with containerized environments to measure AI tool performance across quality, productivity, and efficiency metrics.…See more Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering and data teams to improve tooling and document findings.

This Technical Lead role focuses on architecting, developing, and deploying production-grade Agentic AI solutions on AWS using .NET/C#. The ideal candidate will have hands-on expertise in LLMs, generative AI, RAG, prompt engineering, and agent frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen), combined with strong .NET enterprise development and AWS cloud-native skills.…See more Responsibilities include taking AI solutions from POC to production, designing microservices and REST APIs, and ensuring AI evaluation, monitoring, observability, and governance. Technical leadership, stakeholder management, and system design fundamentals are essential.

Software Engineer II responsible for operating and improving large-scale SQL, NoSQL, streaming, and caching platforms (Cassandra, Aurora, Aerospike, Kafka, Redis, DynamoDB, ElastiCache) with a focus on reliability, automation, and observability. Build self-service developer experiences using Terraform and infrastructure-as-code, participate in on-call incident response, and develop APIs and automated tests for infrastructure tooling.…See more Requires 3+ years in software engineering, database reliability engineering, SRE, or platform engineering, with hands-on Go experience, Terraform proficiency, AWS/GCP knowledge, and Kubernetes familiarity.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

As a System Performance Engineer at Qualcomm, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data center platforms. You will profile complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC architecture, and triage performance issues to root cause.…See more You will collaborate with cross-functional hardware, software, and architecture teams, mentor junior engineers, and prepare technical recommendations for senior leadership. The role requires strong programming skills (Python, C/C++), deep knowledge of ARM SoC architecture, memory hierarchy, system interconnects, and hands-on experience with power/performance analysis tools and benchmarks.

Lead a software engineering team at L3Harris designing and implementing embedded and cloud-based systems across space and airborne technologies. You will own system and software architecture, lead design and implementation in Java and C++, serve as technical point of contact across programs, mentor junior engineers, and collaborate with cross-functional teams on the full software development lifecycle.…See more Requires 9+ years of relevant experience (or equivalent), minimum 5 years in a technical lead or architect role, and an active Secret clearance.

Software Engineer II responsible for operating and improving large-scale data platforms (SQL, NoSQL, streaming, caching) with a focus on reliability, automation, and self-service infrastructure. The role involves building observability tooling, participating in on-call incident response, troubleshooting database and infrastructure issues, and collaborating across teams to deliver reliable stateful services.…See more Required skills include Go, Terraform, API design, Kubernetes, and hands-on experience with databases like Cassandra, Aurora, Kafka, Redis, and DynamoDB on AWS or GCP.

Mid-level full-stack software engineer responsible for developing, deploying, and troubleshooting distributed applications across application software, operating systems, networking, virtualization, and hardware interfaces. The role requires 5+ years of professional software development experience with proficiency in Python, modern front-end frameworks, RESTful APIs, Linux administration, containerization (Podman/OCI), Git, and configuration automation (Ansible).…See more Strong emphasis on independent ownership of features from requirements through implementation and testing, with preferred experience in LLMs, generative AI, agentic workflows, and AI-tool integration for engineering tasks.

Lead a software engineering team at L3Harris, taking ownership of system and software architecture for space and airborne technologies. You will design, implement, integrate, and test solutions across embedded, platform, and cloud environments using Java, C++, and other modern languages.…See more Responsibilities include leading architecture decisions, mentoring junior engineers, serving as a technical point of contact across programs, and collaborating with cross-functional teams on the full software development lifecycle. Requires a bachelor's degree with 9+ years of experience, minimum 5 years in a technical lead or software architect role, and an active Secret clearance.

Staff Data Engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics use cases across Intuit. Responsibilities include designing data normalization, lineage, governance, and discoverability systems; collaborating with product and engineering teams on extensible platform design; and enabling analytics and GenAI/ML initiatives.…See more Requires 8+ years in product/web analytics, advanced SQL and big-data technologies (Redshift, Spark, Hive, BigQuery), Python or Java/Scala, and data pipeline orchestration experience. Role includes code reviews, CI/CD process ownership, mentorship, and translating business strategy into data-driven insights.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio driver stack solutions (UMDF/KMDF) that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets.…See more Debug complex multi-threaded, multi-processor issues across hardware/software boundaries and optimize for low-power always-on scenarios. Collaborate with cross-functional teams (hardware, DSP, ML, systems, product) and communicate status, risks, and mitigations to stakeholders.

This is an early-career rotational program role supporting Consumer IT through reporting, analytics, data validation, and light technical development. The developer will perform data pulls and analysis, validate data against business rules, administer platforms like Azure DevOps and Tableau, assist with automation and workflow improvements, and support AI-enabled reporting solutions.…See more The role requires a Bachelor's degree in information systems, computer science, data analytics, or related field, with strong analytical skills, Excel proficiency, SQL knowledge preferred, and exposure to scripting languages like Python or PowerShell.

Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.…See more The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.