ai jobs in San Diego

This role leads product security engineering for FDA-regulated medical devices (Class I/II) and their cloud-connected platforms. The engineer owns the full security lifecycle—threat modeling, risk assessments, security architecture, secure SDLC integration, and regulatory documentation—balancing patient safety, data protection, and FDA compliance.…See more Responsibilities span device and cloud security, vulnerability management, SBOM processes, and cross-functional collaboration with engineering, quality, and regulatory teams. Required: 5+ years cybersecurity experience, hands-on work with embedded/cloud/application security, FDA submission experience, and medical device development background.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Qualcomm's Location Technology team seeks a Senior Engineer to validate and commercialize next-generation positioning solutions (GNSS, Assisted GNSS, cellular, Wi-Fi, sensor fusion) across mobile, automotive, wearables, XR, and IoT platforms. The role focuses on system-level test strategy development, log/trace analysis, and root-cause debugging of complex multi-sensor location systems.…See more A key expectation is building automation tools, data-analysis pipelines, and AI-assisted workflows to accelerate test development, log analysis, KPI evaluation, and reporting. The candidate will collaborate with systems, software, algorithms, and product teams to drive feature commercialization and continuous engineering productivity improvements.

Design and architect AI/ML platforms optimized for Qualcomm's hardware (GPU/NPU) and software stack, with focus on end-to-end performance analysis, algorithm tuning, and system bottleneck reduction. Analyze ML workloads across Computer Vision, Audio, Generative AI, and Agentic AI domains; correlate device performance against pre-silicon predictions; and develop reference implementations and tools for third-party developers.…See more Requires 15+ years in high-performance computing systems engineering or software with 5+ years in AI system optimization, strong expertise in AI frameworks and performance profiling, and ability to lead cross-functional teams and articulate complex technical concepts.

Lead a Reliability Platform Engineering team at Affirm responsible for building observability, risk management, and operational intelligence systems that help engineers manage production reliability at scale. You'll translate operational challenges into technical requirements, develop scalable reliability capabilities leveraging AI and automation, and drive alignment across Platform Engineering, SRE, Infrastructure, and product teams.…See more The role requires 7+ years of backend/full-stack engineering experience with 2+ years of engineering leadership, deep expertise with observability tools and SRE practices, and strong programming skills in Python, Kotlin, Java, or similar languages.

Qualcomm seeks a Machine Learning Engineer to design, develop, and deploy generative AI solutions focused on Large Language Models, Retrieval-Augmented Generation (RAG), and intelligent agent systems. The role involves implementing RAG-based solutions, optimizing LLM fine-tuning strategies, building evaluation frameworks, and maintaining agentic workflows for autonomous AI systems.…See more The candidate must have strong Python programming skills, practical LLM deployment experience, and familiarity with ML frameworks like PyTorch and TensorFlow, alongside knowledge of vector databases, cloud platforms (AWS, GCP, Azure), and modern MLOps infrastructure.

Join Booz Allen's competitive Summer Games internship program as a software developer, working in teams to solve complex, real-world problems for government and commercial customers. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or algorithms to develop breakthrough solutions, produce technical documentation, and present your work to senior leadership.…See more The program simulates a startup accelerator environment with mentorship, collaboration, and culminates in a Challenge Cup competition.

Software engineer developing oncology applications that integrate laboratory systems, data pipelines, and enterprise platforms. The role requires building AI-enabled capabilities (information retrieval, NLP extraction, summarization), deploying on Lilly cloud infrastructure, and owning application reliability and lifecycle.…See more Requires 4+ years of software engineering experience with BS/MS in computer science or related field; strong Python or modern server-side language skills, web frameworks (Django, Flask, Rails), front-end development, cloud deployment (AWS preferred), CI/CD, containerization, and familiarity with LLM APIs and agentic patterns are preferred.

As an AI Performance Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, optimize software for AI model deployment on hardware (kernels, compilers, model efficiency tools), and develop ML techniques into products.…See more You will conduct experiments to train and evaluate ML models, work independently with minimal supervision, and provide technical guidance to team members. The role requires 4+ years of hardware/software/systems engineering experience, proficiency with ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages suited for ML (Python, C++, R).

As an LLM Engineer at Qualcomm, you will create and implement machine learning techniques, frameworks, and tools for efficient discovery and deployment of ML solutions across mobile, edge, auto, and IoT products. You will model, architect, and develop advanced ML hardware co-designed with software, develop optimized software for AI model deployment (kernels, compilers, model efficiency tools), and lead ML technique application into products.…See more You will work independently with minimal supervision while providing technical guidance to team members and collaborating across cross-functional teams on joint hardware-software design.

An AI Solutions Architect role focused on designing and developing analytics solutions using Palantir Foundry for U.S. Defense clients.…See more The role requires 3+ years of Python or TypeScript experience, hands-on expertise with Palantir Foundry AIP, Ontology Manager, data ingestion/transformation tools, and CI/CD workflows. You'll work within Agile teams to translate stakeholder requirements into technical solutions integrating data engineering, data science modeling, and AI/ML capabilities.

Senior Manager leading R&D strategy for digital health and AI/ML solutions in neuropsychiatry at a major pharmaceutical company. The role spans developing and validating digital endpoints, patient stratification approaches, and clinical trial optimization using advanced statistical modeling, multimodal data integration (digital phenotyping, speech/language analytics, imaging, biomarkers, omics), and longitudinal analysis.…See more Requires 6+ years in pharma/biotech analytics with demonstrated expertise in clinical development, digital health technologies, biostatistics, and machine learning; PhD or MD in a quantitative or clinical field preferred. Reports to senior leadership, partnering cross-functionally with clinical operations, regulatory affairs, and external collaborators to advance digital health standards and support regulatory qualification of novel endpoints.

Senior Full-Stack Software Engineer responsible for designing and maintaining end-to-end web applications powering Clairyon's clinical AI platform. The role requires building production-grade machine learning integrations, secure APIs for real-time clinical and sensor data ingestion, and optimized data pipelines and model-serving infrastructure.…See more The engineer will collaborate with data scientists, clinicians, and product teams to translate research models into scalable software solutions, with daily tasks including code reviews, testing, documentation, and architectural contributions. Required expertise spans full-stack development (Python, TypeScript, JavaScript), cloud platforms (AWS), containerization (Docker, Kubernetes), AI agents and RAG architectures (LangChain, DSPy), healthcare data standards (HL7 FHIR), and healthcare compliance (HIPAA).

Build and deploy production-grade AI models that power Petco's e-commerce platform, including personalized recommendations, demand forecasting, and price optimization. Design and maintain robust MLOps pipelines for automated model retraining, monitoring, and 24/7 reliability across web and mobile.…See more Partner with Software Engineering and Mobile teams to integrate AI features into production systems, and mentor junior engineers on ML engineering best practices. Experiment with emerging technologies like Generative AI and LLMs to drive business impact.

Staff Systems Engineer leading technical execution of next-generation autonomous aircraft (UAS) system architecture, including avionics, autonomy, propulsion, sensors, and mission-critical systems integration. Responsibilities include defining system requirements and behavior through model-based systems engineering (MBSE), conducting safety analyses (FHA, FMEA, FTA), trade studies, and ensuring compliance with military and aviation standards.…See more Requires 8+ years in aerospace/defense systems engineering, deep expertise in autonomy-driven flight systems, proficiency in MBSE tools (SysML, DOORS, CAMEO), and experience with Group 4/5 UAS or military aircraft platforms, including flight testing and DoD acquisition processes.

Software engineer to update and enhance tactical network software for Navy C4I systems (ADNS, CANES, ISNS), including design, coding, implementation, and testing of afloat and ashore network applications. Responsibilities include integration of hardware/software systems, DevSecOps support, installation/load management, and test automation across development through production environments.…See more Requires a BS in Computer Science or related field with 3 years of software engineering experience and an active DoD Secret clearance with ability to obtain TS/SCI.

Senior Engineer, Software role focused on building and improving internal developer platforms, tools, and workflows at Shield AI. Responsibilities include bringing agentic AI into developer tooling, partnering with engineering teams to reduce friction, enabling collaboration through accessible tools and standards, and driving adoption through feedback and metrics.…See more The role requires 4+ years of software engineering experience with demonstrated expertise in developer tools, backend services, APIs, and distributed systems, plus strong systems thinking and cross-team collaboration skills. At the Staff level, the role expands to leading cross-team initiatives and shaping organizational approach to developer productivity.

AppFolio is hiring a Staff Machine Learning Engineer to design, build, and operate their ML platform on AWS, supporting training, fine-tuning, inference, RAG, and cost optimization across the organization's AI initiatives. You'll partner with applied AI and research teams to productionize prototypes, maintain multi-provider LLM reliability (OpenAI, Google, Anthropic), and operate AI safety guardrails and authorization layers.…See more The role requires production-scale ML infrastructure experience on AWS (ECS, SageMaker, GPU fleets), deep knowledge of model serving and inference optimization, hands-on language model training, and demonstrated cost discipline across AI workloads.

Engineering Lead responsible for hands-on ML research, model development, and production AI system deployment in a live trading environment. You will work closely with quantitative research leadership to shape and execute the research agenda, design and train models, lead day-to-day technical execution across the engineering team, and mentor engineers to raise overall technical standards.…See more The role requires 4–6 years of applied ML/AI experience with 1–2 years of technical leadership, strong proficiency in Python and PyTorch, and a track record of shipping production ML systems where model performance directly impacts real-world outcomes.

Software engineer with 6+ years of backend development experience (or 4+ with a Master's degree) designing and optimizing high-performance algorithms for radar, optical, and infrared sensor systems. You'll work with a cross-disciplinary team to engineer scalable distributed systems, accelerate code on GPUs using CUDA, and integrate scientific codebases in Linux/Unix environments.…See more Strong expertise in C/C++, high-performance computing, MPI, parallel/distributed processing, and AI/ML algorithms is required, along with advanced mathematics or physics foundations and proven system-level problem-solving ability.

Senior AI Engineer building AI-powered learning systems for Shield AI's Hivemind autonomy platform. The role involves developing an AI training coach for context-aware guidance, creating tooling to generate technical workshops and curricula from learning objectives, and partnering with autonomy experts to produce assessments and labs.…See more Success is measured by shipped learning products, reduced time to technical proficiency, and demonstrated improvement in customer capability and product adoption.

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

This is a 12-week summer internship for a Technical Program Manager at Intuit, supporting cross-functional delivery of programs with AI and emerging technologies at the center. The intern will drive end-to-end execution, establish operating rhythms, align product/engineering/business stakeholders, navigate trade-offs, and contribute to process improvements and annual planning.…See more Candidates must have a solid understanding of software development lifecycle (SDLC) methodologies, familiarity with AI tools, strong project management fundamentals, and exceptional communication and relationship-building skills.

Staff-level machine learning software engineer responsible for designing, implementing, and optimizing ML software for embedded systems including mobile, edge, auto, and IoT products running on ARM, DSP, and GPU processors. Primary responsibilities include developing and optimizing ML kernels and frameworks (TensorFlow, PyTorch) for efficient hardware execution, implementing performance-critical software in C++/Python, and collaborating with hardware teams on joint design and optimization.…See more Will lead complex projects involving integration, testing, and tool development for embedded ML subsystems, coordinate cross-team dependencies, and contribute to design reviews and technical planning.

This role combines pre-sales engineering with hands-on AI/automation expertise. You'll design and deliver technical presentations, build proof-of-value projects and custom dashboards for enterprise clients, and assist with RFPs—all while staying current on ClickUp's product roadmap.…See more You need 6+ years in customer-facing technical roles, demonstrated success with agentic AI workflows and integration platforms, and the ability to influence both technical and executive stakeholders toward adoption.