artificial-intelligence jobs in San Diego

Lead enterprise generative AI architecture and solution design on Oracle Cloud Infrastructure (OCI), focusing on agentic workflows, retrieval-augmented generation pipelines, and Oracle application integrations. Define governance, security, and compliance standards for AI/ML initiatives across the enterprise.…See more Mentor delivery teams on prompt engineering, model selection, and optimization; identify high-value AI use cases and guide pilot deployments that drive business outcomes.

Design and build large-scale access management systems that enforce least-privilege security across Amazon's infrastructure. Apply AI/ML techniques to automatically detect unused permissions, recommend access decisions, and reduce security risk at company scale.…See more Collaborate with leadership and stakeholders to define access experiences for Amazon's developer community. Contribute across the full software development lifecycle—design, implementation, testing, deployment, and operations—with on-call responsibilities for critical access management services.

Support software delivery teams as a Project Manager / Scrum Master co-op by facilitating sprint planning, stand-ups, retrospectives, and Kanban board management for County of San Diego IT modernization projects. Gain hands-on experience in Agile program delivery, working alongside Peraton professionals on real projects that include emerging AI applications in software design and delivery.…See more Requires understanding of Agile, Scrum, and Kanban principles, strong organizational skills, and ability to facilitate meetings and track action items. This is a 40-hour/week hybrid role based in San Diego from January through August 2027.

Staff Data Engineer at Qualcomm responsible for designing, building, and maintaining scalable batch and streaming data pipelines on AWS and Databricks. Develop reusable data engineering frameworks, libraries, and templates while implementing AI-driven automation for schema inference, data quality checks, pipeline orchestration, and self-healing mechanisms.…See more Lead reliability and operations efforts by defining SLIs/SLOs, participating in incident response, and driving performance tuning and cost optimization. Mentor junior engineers, collaborate across analytics and platform teams, and drive adoption of standardized data frameworks and best practices.

Systems Engineer role supporting Navy C4I systems integration and sustainment across shore and shipboard environments. Responsibilities include network engineering verification (IDPs, schematics, CAD drawings), Information Assurance integration, DevSecOps engineering, proactive sustainment monitoring with predictive modeling, and coordination of pilot tests and global on-site technical activities.…See more Requires Bachelor's in Engineering with 3–7 years of systems engineering experience (depending on level), active DoD Secret clearance with ability to obtain TS/SCI, and proficiency in CAD tools (AutoCAD), network systems, and full development cycle management.

Staff Machine Learning Engineer to drive AI/ML-based automation across Qualcomm's Automotive SoC Cybersecurity and Safety engineering. The role focuses on building intelligent, scalable solutions using LLMs, GenAI, and agentic AI systems to streamline cybersecurity workflows, functional safety processes, and silicon verification.…See more Responsibilities include designing end-to-end ML pipelines, developing document-understanding and review-automation systems, and applying AI to security analysis and compliance monitoring across the product development lifecycle. Required: strong ML/AI background, Python or C++ proficiency, production ML experience; preferred: knowledge of automotive standards (ISO/SAE 21434, ISO 26262), hardware security, or RTL/verification workflows.

Qualcomm seeks an embedded software engineer to design, develop, and validate real-time sensors software for mobile and IoT devices. You will architect scalable, high-performance systems integrating sensors, audio, location, camera, and connectivity technologies, working cross-functionally with hardware and systems teams.…See more The role requires proficiency in C/C++, embedded RTOS, Linux/Android, and software debugging tools, with potential contributions in digital signal processing, machine learning, and AI. You will manage complex projects independently, optimize performance, and produce technical documentation while ensuring architectural decisions align with business and technical requirements.

This role combines computational research, HPC system optimization, and AI/ML deployment support at UC San Diego's Supercomputer Center. The incumbent will develop and deploy AI inference services on cutting-edge HPC platforms (PNRP, Expanse, Voyager), support researchers integrating these services into workflows, collaborate on hardware integration (FPGAs, accelerators), maintain benchmark suites on Kubernetes clusters, and contribute to proposals characterizing system performance.…See more The position requires advanced skills in HPC performance analysis, machine-learning deployment on innovative hardware, complex computing environment troubleshooting, and hands-on Kubernetes experience.

Sr. Director of Software Quality will build and lead Illumina's standalone Software Quality organization, establishing governance frameworks aligned with IEC 62304, ISO 13485, ISO 14971, and emerging AI Act requirements.…See more The role owns the Software Quality Management System across all software products, software-driven IVDs, and AI/ML-enabled diagnostics, embedding quality checkpoints throughout the product development lifecycle and post-market surveillance. Responsibilities include recruiting and developing a high-performing team, defining verification and validation standards, managing regulatory compliance for FDA, EU MDR/IVDR, and other global bodies, and serving as the subject-matter expert in regulatory inspections. The candidate must have deep hands-on expertise in IEC 62304, SaMD classification frameworks, cybersecurity in QMS (IEC 81001-5-1), and demonstrated experience building and leading software quality functions in regulated medical device environments.

Mid-level Systems Engineer role focused on Model-Based Systems Engineering (MBSE) with knowledge of machine learning and artificial intelligence. The position requires developing technical documentation, excellent communication skills, and a TS/SCI security clearance.…See more Candidates should hold a Master's degree in Engineering and possess ASEP or CSEP INCOSE certification.

Entry-level software engineer role supporting C4ISR and geospatial intelligence applications for defense customers. Requires a Bachelor's degree in Computer Science or related field (by June 2027) and proficiency in Java with understanding of object-oriented design and programming.…See more The role emphasizes full-stack development capabilities, familiarity with modern DevOps and cloud tools, and the ability to work collaboratively in an agile environment. Candidates with security clearance eligibility or prior internship experience are preferred.

Lead planning, execution, and delivery of complex software releases for Hivemind Enterprise, a autonomy software platform used by Shield AI and third parties to build unmanned systems. Drive major test automation initiatives, manage large-scale test operations from CI through HIL and flight test, and collaborate across engineering, product, and customer teams to define scope, timelines, and resource allocation.…See more Requires 8+ years in program/engineering management or software test engineering with deep technical foundations in test engineering, software development lifecycle optimization, and complex HW/SW systems testing.

Design, develop, and maintain robust backend APIs for Speechify's text-to-speech platform, including public TTS APIs, payments, subscriptions, authentication, and consumption tracking. Oversee the full backend API landscape, optimize for performance and scalability, and collaborate with cross-functional teams on B2B solutions and enterprise integrations.…See more The role requires proven backend development experience with TypeScript/Node.js and direct experience with GCP, with Docker and Kubernetes proficiency preferred.

This role leads enterprise generative AI architecture and solution delivery on Oracle Cloud Infrastructure, designing agentic workflows, RAG pipelines, and LLM-based integrations with Oracle applications. The candidate will define AI governance and security standards, identify high-value use cases, mentor technical teams, and guide model selection and optimization.…See more Requirements include 8+ years of enterprise architecture experience with 2+ years in AI/ML/GenAI solution architecture, hands-on expertise with OCI services (Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, Integration Cloud), and proficiency in Python, SQL, and REST APIs.

Engineering Lead responsible for designing, developing, and deploying production ML models for live trading environments while leading day-to-day technical execution across the engineering team. You will work with leadership to shape the research agenda, mentor engineers, drive adoption of AI tools to accelerate engineering workflows, and build/improve core ML infrastructure including data pipelines, training workflows, and inference systems.…See more The role requires 4–6 years of applied ML/AI experience with 1–2 years leading technical projects or teams, strong proficiency in Python and PyTorch, and a track record of shipping ML systems where model performance directly impacts business outcomes.

Design, develop, and validate embedded software for sensor systems powering mobile applications including IoT, wearables, AR/VR, and health technologies. Work independently and lead others to architect scalable, real-time sensor software solutions in C/C++ on embedded RTOS platforms (Linux/Android/Windows), collaborating across hardware, systems, and test teams.…See more Optimize performance, debug complex systems, and ensure code quality through testing and architectural analysis. Requires Bachelor's in Engineering or Computer Science with strong embedded software 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.

The AI Enablement Specialist will contribute to hands-on development of AI-powered tools and applications while maintaining platforms and infrastructure that support AI deployment. The role bridges technical and business functions, coordinating new AI initiatives from intake through delivery, managing governance and compliance, and providing ongoing support and monitoring.…See more You'll work with business leaders and technical teams to scale AI capabilities across Consumer Banking, requiring proficiency in at least one programming or scripting language and ability to move between technical problem-solving and stakeholder communication.

Lead ML research and production model development for a quantitative trading firm, working hands-on to design, train, and deploy ML systems that directly impact live trading environments. You will drive technical execution across the engineering team, mentor engineers to raise the bar, and translate ambiguous research problems into executable modeling work with measurable real-world impact.…See more The role requires 4–6 years of applied ML experience with 1–2 years of technical leadership, strong fluency in Python and PyTorch, and a track record of shipping production systems in high-stakes contexts.

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.

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.

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).

Senior Systems Engineer responsible for full-lifecycle systems and network engineering for enterprise infrastructure, including design, implementation, integration, upgrade, sustainment, and security. Develops and maintains engineering documentation, assembles test plans and specifications, and supports cybersecurity and Risk Management Framework (RMF) documentation for system accreditation.…See more Conducts site surveys and assessments to recommend optimal configurations, and integrates emerging capabilities including AI, automation tools, and data visualization into enterprise workflows.

MITRE is recruiting computer science and software engineering interns to gain hands-on experience across multiple technical areas including front-end/back-end/full-stack development, AI/ML, cybersecurity software development, DevSecOps, mobile computing, embedded systems, IoT, UX/UI, modeling and simulation, model-based engineering, and virtual reality. Interns must be full-time students in Computer Science, Software Engineering, or related disciplines with foundational knowledge of CS/SE methodologies, frameworks, tools, and programming languages.…See more The role involves collaborating with teams of experts to apply academic knowledge in a real-world, public-interest R&D environment.

Staff Software Engineer at a portfolio company building an AI platform to improve clinical trials. This is a senior-level role where you will shape the company's technical direction and make significant impact on product development.…See more The role requires expertise in AI/ML systems and software engineering best practices to advance a healthcare-focused technology platform.