ai jobs in San Diego

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.

Design and architect RISC-V System-on-Chip (SoC) platforms, leveraging deep expertise in heterogeneous compute, interconnect, memory systems, security, and power management. Develop and improve analysis tools including functional/performance simulators and profilers using C++ and Python.…See more Apply systems engineering rigor to define SoC-level architectures across boot, debug, timebase management, and real-time control components. Candidates should have 4+ years of systems engineering or SoC/IP architecture experience and demonstrate proficiency in behavioral/performance modeling and analytical techniques.

Design, develop, and optimize Windows camera drivers and imaging solutions for Qualcomm Snapdragon platforms, working across kernel-mode and user-mode drivers, image signal processing, and AI-enhanced camera features. Lead camera sensor bring-up, hardware integration, and debug complex issues across the camera stack.…See more Collaborate with OEMs, hardware teams, silicon engineers, and Microsoft to deliver high-quality camera experiences. Mentor junior engineers and influence camera architecture decisions across product generations.

Senior technical leader responsible for integrating AI/ML systems into secure, scalable DoD-compliant environments. Will architect AI system deployments, establish DevSecOps practices, ensure compliance with RMF/NIST 800-53/DISA STIG standards, and provide technical guidance across engineering teams.…See more Requires deep expertise in AI/ML production systems, containerization, CI/CD, and cybersecurity controls, with hands-on experience in Python, Kubernetes, and modern infrastructure tooling.

Lead a team of data scientists at Insulet's Analytics Center of Excellence, managing the execution of global analytics and AI initiatives while maintaining hands-on expertise in data science work. You will mentor scientists, guide development of cloud-based analytics pipelines and automated machine learning solutions, and coordinate with cross-functional stakeholders across R&D, clinical, quality, and manufacturing to identify and deliver high-value data science opportunities.…See more The role requires a Master's degree with 5+ years in data science (or PhD with 3+), 2+ years in machine learning/AI, direct team management experience, and proficiency in Python/R, SQL, cloud platforms (Azure/AWS/GCP), and big data technologies like Spark/Databricks. You'll perform statistical analysis, predictive modeling, and communicate insights to executives while owning the data products portfolio and managing annual budgets.

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

Senior Program Manager overseeing datacenter software initiatives at Qualcomm, managing cross-functional teams across multiple global design centers. Responsible for establishing plan of record, driving execution schedules, coordinating resources, and managing risks across semiconductor/AI product development.…See more Will interface with senior leadership, represent the program to stakeholders, and coordinate with engineering, product, and external teams to ensure on-time delivery and milestone achievement. Requires 7+ years of program management experience in semiconductors or telecommunications, with 3+ years on x86/ARM/RISC-V platforms and 2+ years on AI products.

Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.…See more Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.