ai jobs in San Diego

As an ML engineer at Booz Allen Hamilton, you'll design, build, and deploy production-grade AI/ML systems for Defense and Intelligence clients. You'll work across the full ML lifecycle—from model development in deep learning, computer vision, NLP, and signal processing through MLOps, containerization, and cloud deployment.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with frameworks like TensorFlow and PyTorch, and the ability to obtain a Secret clearance.

Full-Stack Software Engineer responsible for designing and building an on-premises AI server project focused on privacy for defense applications, with end-to-end ownership from planning through development, testing, deployment, and production support. Must be proficient in one backend language (Go, Rust, Python, C#/.NET, or Node.js), frontend frameworks (React or Vue), and Linux/Docker, with hands-on experience managing GPU workloads, LLM and image generation models, and networking/security.…See more This is a 100% onsite, full-time role in San Diego with significant technical decision-making authority over system architecture and quality.

Verification Software Engineer at Qualcomm's Modem/Chiplet Validation & Emulation team, responsible for developing and scaling system-level validation content and automation frameworks for SoCs across pre- and post-silicon phases. The role involves designing test content in C/C++ and Python, debugging across hardware and software boundaries, and validating complex SoC domains including modems, RF, and SERDES interfaces.…See more Engineers will work on bare-metal validation, performance/power analysis, and silicon bring-up across data-center and mobile platforms, with exposure to simulation, emulation (Veloce/FPGA), and lab debug tools (JTAG, logic analyzers, oscilloscopes).

As an AI Solution Engineer at Qualcomm, you will design, develop, and validate embedded and cloud edge software applications. You'll implement small software features, perform unit testing and debugging, participate in code reviews, and collaborate with cross-functional teams including systems, hardware, and architecture engineers.…See more The role requires a bachelor's degree in Engineering, Computer Science, or related field, with preferred experience in programming languages (C, C++, Java, Python), database management, APIs, and source control systems.

Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.…See more Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.

Data Analyst role focused on supply chain performance and insights at a global medical device company. The analyst will build dashboards and reporting solutions using Tableau/Power BI, query large datasets with SQL, and develop self-service and AI-enabled analytics capabilities to support distribution, logistics, and supply chain stakeholders across multiple regions.…See more The role requires 3+ years of analytics experience, strong Excel and SQL skills, demonstrated AI literacy, and the ability to translate business questions into actionable insights. Candidates should be comfortable supporting global teams across time zones and identifying operational trends that drive decision-making.

Lead a team of security engineers (staff, senior staff, principal levels) owning product security across Intuit's ecosystem, including security reviews, design consults, and risk evaluations. Transform security processes from manual to automation/agent-first, defining baseline controls and security standards for cloud platforms (AWS, GCP, Azure) while raising the bar for AI/agentic systems.…See more Partner with business and engineering leaders to surface risks early, inform decisions, and drive adoption of security controls across large organizations. Requires 8+ years in security engineering, 3+ years managing managers, deep technical expertise in application security and threat modeling, and demonstrated experience rebuilding security programs with hands-on automation.

Design, develop, and optimize production machine learning systems including model development, inference optimization, and scalable ML infrastructure. Build end-to-end ML pipelines from training through deployment, optimize model inference for latency and cost, integrate LLM/ML models into APIs and microservices, and engineer data pipelines for preprocessing and validation.…See more Requires strong software engineering fundamentals with deep ML expertise, proficiency in Python and systems languages, and experience with ML frameworks, model serving, and distributed computing.

Senior Technical Integration Lead responsible for integrating machine learning and AI capabilities into operational defense software systems. The role requires expertise in modern software architecture (MOSA, API-first, edge computing), DevSecOps, CI/CD practices, cybersecurity frameworks (RMF), and product management principles.…See more The person will work across Government and development stakeholders at NIWC-Pacific, managing rapid capability delivery and iterative acquisition approaches within secure, on-site environments.

This is a paid summer internship for undergraduates or graduate students to design, develop, and enhance automated test frameworks and AI-powered testing solutions for medical device software. The role involves developing automation scripts in languages like C#, Python, or Java; supporting AI agents and generative AI/ML technologies for test automation; executing test suites and analyzing results; and troubleshooting software, hardware, and integration issues across cross-functional teams.…See more Candidates should have at least 3 years of study in Computer Science, Software Engineering, or related fields, with hands-on experience in one or more programming languages and source control systems.

Build and ship production ML systems end-to-end for autonomous medical coding in a SaaS platform, from problem framing through deployment and monitoring. Own the full lifecycle—data discovery, feature engineering, training, evaluation, and iteration—working with LLMs, deep learning, and modern MLOps tooling to handle millions of medical charts daily.…See more Design robust, low-latency architectures, establish rigorous evaluation strategies, and implement model observability, drift detection, and bias assessments. Collaborate across product, data, and platform teams to translate business goals into measurable ML outcomes.

Senior Staff Engineer to develop end-to-end embedded AI software for deploying generative AI models on Qualcomm's edge AI accelerators. You will design and optimize ML/AI software stacks, kernels, and runtime software for power and memory efficiency, collaborate with hardware teams on new ML operators, and build debugging/profiling tools and SDKs.…See more Requires 6+ years of hardware, software, or systems engineering experience (or equivalent with advanced degree) and strong expertise in machine learning frameworks, neural network training/quantization, and languages like Python or C++.

Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.…See more Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

Support large-scale 4G LTE and 5G NR modem validation and software integration by monitoring wireless test infrastructure, performing technical triage and failure analysis, and developing Python-based automation tools and AI-enabled workflows. Analyze logs, crash dumps, and test results to identify issues; develop and execute integration test strategies for functional and system-level validation of MPSS images across platform bring-ups and feature releases.…See more Collaborate with cross-functional teams to improve platform reliability, generate operational metrics, and support on-time delivery of modem release milestones.

Director-level IT leadership role overseeing commercial technology platforms and enterprise solutions at a global organization. Responsible for leading end-to-end delivery of CRM, CPQ, eCommerce, marketing automation, and analytics platforms; modernizing legacy systems; and building/mentoring global teams of architects, analysts, and developers.…See more Requires 12+ years of progressive IT experience with 5+ years managing global teams, deep CRM/Salesforce expertise, and proven track record leading large-scale digital transformation and systems integration initiatives.

Lead end-to-end AI platform architecture and infrastructure at enterprise scale, designing and implementing generative AI capabilities including LLMs, RAG systems, and agentic AI with a focus on model serving, inference optimization, and production deployment. Establish MLOps/LLMOps best practices, build automated CI/CD pipelines tailored for AI/ML applications, and architect vector database integration and cloud AI/ML services.…See more Mentor engineering teams, drive cross-functional collaboration between software, product, and data teams, and continuously evaluate and optimize AI platform performance, scalability, and reliability.

Verification Software Engineer at Qualcomm's Modem/Chiplet Validation & Emulation team, responsible for developing system-level validation content and automation frameworks for SoC silicon across pre- and post-silicon phases. The role requires low-level programming in C/C++, Python, and Assembly, combined with hardware-software co-debug across modem, RF, and SERDES interfaces, performance/power analysis, and lab debug tools (JTAG, logic analyzers, oscilloscopes).…See more Engineers will design scalable test frameworks, bare-metal validation content, and infrastructure for functional, concurrency, and stress testing, with exposure to cutting-edge mobile and data-center SoCs.

Lead a machine learning engineering team designing Visual Language Action Models, Vision Language Models, and Large Language Models for autonomous driving and infotainment on Qualcomm's Snapdragon Ride platform. Optimize deep networks for accuracy-latency trade-offs on resource-constrained edge devices, focusing on low-level perception, end-to-end autonomous driving (L2/L3 ADAS), and multi-modal sensor fusion.…See more Drive cross-functional collaboration with automotive OEMs and internal Qualcomm teams while building a world-class AI/deep learning engineering organization. Requires 6–8+ years of systems engineering or machine learning experience (depending on degree level), with hands-on expertise in deep learning network design, quantization, and deployment on edge AI accelerators.

Join Aphantic as a Software Engineer to design and develop web-based applications that integrate with custom embedded systems using AI-assisted coding tools. You'll write requirements and test documentation, execute testing, and interface with customers on requirements and design reviews.…See more The role requires 2+ years of professional software engineering experience, proficiency in Python, JavaScript/TypeScript, Go, C/C++, or Rust, Linux systems knowledge, and web-based UI development skills including TLS/HTTPS networking.

The AI Learning Architect designs and implements generative AI applications for learning and development, using prompt engineering, retrieval-augmented generation, and low-code automation to personalize training content and remove manual steps. They structure learning data into modular frameworks, evaluate and integrate AI tools with existing learning platforms, set up analytics tracking via xAPI, and debug prompt configurations to keep solutions accurate and current.…See more The role requires 3+ years in instructional design or educational technology with hands-on AI integration, proficiency in modern generative AI models and low-code tools, knowledge of learning frameworks (ADDIE, SAM), and the ability to translate technical AI behavior into accessible user experiences. They embed responsible AI practices including data privacy, bias checks, and accessibility from the start, while documenting workflows and coaching teammates.

ESM Developer I will develop and maintain enterprise service management solutions using ServiceNow or similar platforms, focusing on integrations, CMDB support, and platform troubleshooting. The role involves building REST API integrations, managing data quality, supporting releases and deployments, and collaborating across technical and business teams.…See more The candidate will work with JavaScript, SQL, databases, and enterprise data governance standards while following Clearway's AI governance and security requirements. Level I developers are expected to build foundational enterprise application development skills and recognize automation and AI opportunities.

Mid-level software engineer building AI/ML capabilities for a defense customer. You'll develop NLP and machine learning pipelines in Python (text analytics, topic modeling, embeddings, entity extraction), design knowledge graphs and network-analysis tools, develop collaborative TypeScript front-end applications, and deploy APIs and production systems.…See more Requires 4+ years Python development or equivalent front-end experience plus 2 years Python, hands-on NLP/ML experience, and ability to work with limited supervision.

As a Sr. Software Integration Engineer on Qualcomm's Cloud software team, you will design and implement CI/CD pipelines, testing strategies, and automation frameworks for a new machine learning accelerator program.…See more You'll develop Jenkins-based build infrastructure, integrate code coverage tools, manage build servers and dependencies, and collaborate across hardware, software, and systems teams to deliver production-grade software and firmware. The role requires strong experience with CI/CD, programming languages (Python, C++, Java), source control (Git, Gerrit, Perforce), and build automation, with growing team leadership responsibilities.

Design, develop, and optimize Windows camera drivers and imaging solutions on Qualcomm Snapdragon platforms, including kernel-mode and user-mode drivers, camera frameworks, image signal processing, and AI-enhanced features. Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences.…See more Lead camera sensor bring-up, debug complex system and hardware issues across the camera stack, and mentor junior engineers while influencing architecture decisions.