ai jobs in San Diego

Staff Analytics Engineer responsible for designing and operationalizing agentic AI workflows, ML models, and Databricks applications at scale. Will build multi-step agent pipelines combining rules, ML models, and reasoning to solve complex business problems, then productionize them with monitoring, drift detection, and retraining strategies.…See more Requires 5+ years of hands-on ML engineering or data science with production system ownership, deep Python proficiency, strong traditional ML foundations, and proven Databricks expertise including notebook apps, dashboards, and ML pipelines. Will serve as technical authority, mentor peers, and influence architectural decisions across teams.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems powering Firestorm's manufacturing intelligence platform, including scheduling, resource allocation, and constraint satisfaction for a planning workbench and simulation engine. You'll design analytics layers for defect trends and operational intelligence, lead integration of open-source and custom LLMs for cloud and edge deployment in DoD contexts, and productionize algorithmic systems alongside full-stack and infrastructure teams.…See more The role requires 5+ years of applied optimization, operations research, or ML systems experience with deep Python proficiency, fluency in optimization frameworks (MILP solvers, OR-Tools), and a proven track record shipping production systems—not prototypes—to real users. You'll partner with manufacturing domain experts to translate operational constraints into model formulations.

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.

Senior Windows audio software engineer responsible for end-to-end feature development of Voice AI capabilities on Windows, including wake-on-voice, on-device ASR, translation, transcription, and TTS. The role requires designing and implementing Windows audio and driver stack solutions that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets, with work spanning user-mode and kernel-mode boundaries (UMDF/KMDF).…See more Responsibilities include gathering technical requirements, optimizing low-power audio architecture for always-on use cases, and debugging complex multi-threaded and multi-processor issues across hardware/software boundaries. The engineer will collaborate with cross-functional teams (hardware, DSP, systems, ML, product) and communicate status, risks, and roadmap contributions to technical leads.

Director and Practice Leader role building and scaling Slalom's Contact Center Modernization consulting practice. The director will provide strategic leadership to a high-performing team, advise C-suite executives on modernization roadmaps integrating CRM, CCaaS, and AI platforms, and oversee design and delivery of solutions across Genesys, NICE, Amazon Connect, Salesforce, ServiceNow, and related ecosystems.…See more Requires 12+ years in contact center operations, customer experience, or CCaaS/CRM consulting, with proven people leadership, platform expertise, and ability to influence senior clients.

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.

Lead a team of full-stack software engineers building ServiceNow's AI Experience Framework (AIUX) — a platform delivering AI-first, conversation-first user interfaces through modular Lit-based web components. You'll manage product development, set technical direction for framework-level APIs, guide architecture decisions across the request path, and represent AIUX in cross-org discussions.…See more The role requires deep expertise in JavaScript and Java/C++/C#/Go, 10+ years of relevant technology experience, 5+ years managing core engineering teams, and the ability to solve complex problems spanning AI integration, performance at scale, and multi-team coordination.

As an IC5 Senior Staff Engineer, you will architect and deliver large-scale distributed data platform components centered on Kafka, Apache Iceberg, and Apache Spark. You will lead complex technical initiatives, design high-performance data ingestion pipelines, and define engineering best practices across the organization.…See more The role demands deep expertise in distributed systems, JVM performance tuning, stream processing, and full-stack Data Lake solutions, with hands-on delivery of production systems and mentorship of engineering teams.

As a Data Engineer at Booz Allen Hamilton, you will develop and deploy data pipelines and platforms that organize disparate data sources to yield actionable insights for mission-critical applications. You'll work with Python, SQL, or similar languages to build ETL operations, manage relational and non-relational databases, and support analytics workloads on cloud platforms.…See more The role requires 1+ years of data engineering, ETL, or pipeline development experience, proficiency with source control (GitHub/Atlassian), and Linux/Windows scripting. You'll collaborate with analysts, developers, and data scientists in an agile environment to design, develop, and maintain scalable data solutions.

A junior software developer role focused on designing, implementing, and integrating AI/LLM-enabled automation and analytics for Navy cybersecurity and mission workflows. You will participate in technical discussions with cybersecurity specialists and mission partners, contribute to solution architecture and tradeoff analysis, and deliver hands-on work including scripts, APIs, and AI-assisted workflows.…See more The role requires hands-on coding in Python, API integration (REST/HTTP), version control (Git), and the ability to communicate technical concepts to non-specialists while respecting RMF, security controls, and responsible AI practices in classified or controlled environments.

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.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.

Senior engineer at Deloitte GPS delivering production-quality code for GenAI/LLM-powered solutions, with 7+ years in software/data engineering and 1+ years hands-on experience building and deploying Claude-based applications. Responsibilities include designing extensible functionality, leading project workstreams, translating business problems into AI solutions, and contributing reusable assets (code, prompt libraries, runbooks).…See more Strong emphasis on testing, CI/CD, logging, documentation, and mentoring junior team members in fast-paced, ambiguous client delivery environments.

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

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.

As a Product Manager for Hexagon and RISC-V embedded software, you will define product strategy and roadmaps for edge AI and heterogeneous compute platforms, drive developer experience across toolchains and RTOS ecosystems, and lead Qualcomm's engagement in open-source communities like Zephyr. You will translate market requirements into differentiated product direction, partnering with engineering, sales, and customers to identify opportunities in mobile, automotive, IoT, and compute markets.…See more The role requires deep technical expertise in embedded processor architectures, compilers, debuggers, profilers, and real-time operating systems, with hands-on familiarity with ARM, RISC-V, or similar architectures.

Sr Staff TPM driving AI-native strategic planning for Intuit's 8k+ FTE Tech Ecosystem. You will design operating mechanisms and planning processes that align senior technology leaders on strategy, goals, and resource allocation; partner with Business Operations and Finance to integrate annual planning with CEO staff and FP&A expectations; and lead adoption of planning frameworks, tools, and automation across the organization.…See more The role requires transforming manual data processes with AI/automation, influencing VP+ executives without authority, and delivering C-suite planning artifacts that connect strategy to execution outcomes.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

Staff Automation Engineer responsible for developing, testing, and maintaining production automation systems, data pipelines, and workflow tools that support engineering organizations. The role requires strong Python and Linux expertise, SQL/database knowledge, and experience building maintainable backend systems and automation workflows.…See more Responsibilities include troubleshooting production issues, improving system reliability and monitoring, integrating data from multiple sources, and leveraging AI-assisted development tools to accelerate implementation and testing. This is a hands-on individual contributor role focused on execution, delivery, and knowledge transfer during an organizational transition.

As a Forward Deployed Engineer, you'll design and build production-grade data pipelines and ontologies within Palantir Foundry to solve mission-critical problems for defense clients. You'll translate complex mission requirements into technical architectures, develop workflows and decision-support capabilities, and collaborate with engineers, analysts, and stakeholders to deploy Foundry-based applications.…See more The role requires 3+ years in software, data analytics, or platform engineering with hands-on Foundry and ontology design experience, plus the ability to work embedded at client sites and obtain a Secret clearance.

Staff/Sr. Staff Software Engineer role focused on AI inference optimization on Snapdragon platforms, including model optimization, quantization, graph transformations, and runtime execution for LLMs, LVMs, and LMMs.…See more You will design and implement graph lowering and optimization techniques within ONNX Runtime, ExecuTorch, and Qualcomm AI Stack SDK, working across ML algorithms, inference systems, and hardware integration. The role requires 6–8+ years of software development experience, 3+ years in AI/ML inference or model optimization, deep expertise in Python and C/C++, PyTorch/ONNX, and transformer architectures. You will mentor junior engineers, drive features end-to-end, and collaborate across ML Research, hardware, product, and QA teams.

Design, implement, and optimize advanced algorithms for radar, optical, and infrared sensor systems, working with scientists and engineers to build high-performance backend systems for scientific computing in distributed environments. Translate existing code for GPU/CUDA acceleration, integrate and refactor scientific codebases, and work in Linux/Unix environments.…See more Requires 6+ years of C/C++ backend development (or 4+ with a Master's), expertise in high-performance computing, parallel/distributed processing (MPI), GPU/CUDA programming, and foundational knowledge of AI/ML and LLM concepts.

Senior Associate AI Engineer will develop GenAI/LLM applications and integrations using foundational models, build and test AI models and conversational agents, and configure AI solutions into enterprise applications on cloud platforms. The role requires assisting with data preparation for model training, documenting technical workflows, and staying current on emerging AI tools.…See more Requires minimum three years of professional or academic experience in AI/ML, data science, or software engineering, proficiency in Python or similar languages, and hands-on experience with a major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.