machine-learning jobs in San Diego

As a Senior Software Engineer in Power and Limits Management at Qualcomm, you will own or contribute to multiple aspects of software development for power-efficient chipsets across various SoC subsystems. Responsibilities include analyzing requirements, designing robust solutions, performing detailed software analysis to optimize performance and power utilization, developing profiling and debugging tools, and participating in pre-silicon evaluations.…See more You'll interface with system, power, hardware, and software engineers to develop innovative architectures and scope HW acceleration opportunities, with exposure across the full product lifecycle from pre-silicon to commercialization.

Design, build, and deploy intelligent AI agents and agentic process automation solutions using Snowflake Cortex (Agents, Analyst, Search) and Microsoft Azure. Work hands-on with clients to identify high-value AI use cases, architect scalable solutions integrated with existing infrastructure, develop POCs and pilot projects, and provide technical leadership.…See more Requires 5+ years of AI/ML solution architecture experience, deep expertise in Snowflake Cortex platform, agentic automation design, and Azure/Power Platform.

Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.…See more The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).…See more You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.

Senior Developer on Dell's Office of the CTO team responsible for developing new AI applications from concept to production. You'll work across the full stack in small cross-functional teams, rotating through projects involving generative AI, data engineering, and MLOps.…See more The role requires solid programming fundamentals, experience or strong interest in DevOps/XP practices (microservices, CI/CD, containerization), and proficiency in languages like Python, Go, Java, C++, or JavaScript.

Senior Software Engineer at Optum designing, developing, and deploying AI-powered applications and scalable software solutions. Requires 3+ years with .NET/C#/Java, React/ASP.NET MVC/JavaScript/Node.js/Angular, Web APIs, Entity Framework, SQL/NoSQL databases, Azure DevOps/GitHub Actions/Jenkins, Kubernetes/Docker, testing frameworks (Selenium/Gherkin/SpecFlow), and Agile/Scrum.…See more Responsibilities include full-stack development, CI/CD pipeline adherence, quality assurance, performance optimization, compliance with SDLC protocols, accessibility standards, and production support.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Senior Software Engineer responsible for designing, developing, and deploying AI-powered applications and features using modern web and cloud technologies. Will work across the full stack (.NET/C#, React, JavaScript, Node.js, Angular) and cloud infrastructure (Azure, Kubernetes, Docker) to build scalable, high-performance solutions that meet privacy, security, and accessibility standards.…See more Requires 3+ years of hands-on experience with the specified technology stack, CI/CD pipelines, testing frameworks, and Agile practices.

A Software Engineer will design, build, test, and deliver secure, mission-critical software solutions for the U.S. Department of Defense, working with cross-functional teams to develop front-end and back-end features.…See more The role requires proficiency in multiple programming languages (C++, Python, Java, JavaScript), version control (Git), containerization (Docker, Kubernetes), relational databases (SQL/Postgres), and Linux systems, with additional value from front-end frameworks like React, DevSecOps practices, cloud/virtualization expertise, and scripting automation. The engineer will maintain CI/CD pipelines using Jenkins, integrate third-party software, and adhere to DoD and industry security and reliability standards.

Join Sony Interactive Entertainment's D2C Data Science team to support PlayStation's payment and subscription experiences through statistical analysis, A/B testing, and machine learning. You will own analyses of payment success, subscription recovery, and payment flow optimization, building models for forecasting, segmentation, and propensity while translating complex data into actionable recommendations for product and engineering teams.…See more The role requires strong SQL and Python skills, solid statistics and experimental design knowledge, and the ability to work independently on well-scoped analyses while communicating findings clearly to both technical and non-technical stakeholders.

Entry-level software engineer role at BAE Systems supporting C4ISR and geospatial intelligence platforms for defense customers. Candidates must hold or be able to obtain a security clearance and have a Bachelor's degree in Computer Science or related field (or Master's for Associate II level).…See more Required skills include Java, Object-Oriented Programming (OOP), and Object-Oriented Analysis & Design (OOAD); preferred experience includes full-stack development, multiple programming languages (C/C++, C#, Python, JavaScript), cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and familiarity with frameworks like Spring, REST APIs, and microservices architecture.

This role designs and governs enterprise data architectures across SQL, NoSQL, and cloud platforms for a financial institution. The Data Architect will establish data standards, lead golden-record and SSOT initiatives, architect ETL/ELT pipelines, manage data quality and governance frameworks, and oversee database platform strategy (SQL Server, Azure SQL, Snowflake, MongoDB Atlas, Cosmos DB).…See more The position requires 12+ years of progressive experience, deep cloud data platform expertise, SQL and Python proficiency, and demonstrated leadership guiding engineering teams through enterprise modernization and compliance-driven initiatives.

Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.See more

As an Azure Cloud and AI Developer, you'll design, develop, and deploy cloud-native applications on Microsoft Azure while building AI-powered solutions using Azure OpenAI, Azure AI Services, and Azure Machine Learning. You'll create secure integrations between Azure applications and enterprise platforms, drive intelligent automation initiatives, and maintain CI/CD pipelines using Azure DevOps.…See more The role requires 3+ years of application development experience with at least 1 year hands-on with Azure, strong proficiency in C#/.NET/Python, REST APIs, Git-based source control, and secure coding practices in a regulated financial services environment.

Build and optimize a high-throughput compute stack for reliable, production-grade data ingestion, processing, storage, and delivery. The role focuses on making stateful, multi-threaded pipelines fast and observable under real-world constraints—profiling bottlenecks, hardening recovery behavior, and productizing machine-learning models (neural networks, tree-based, unsupervised) to meet performance, reliability, and quality standards.…See more You will work alongside algorithm and infrastructure engineers, using measurements to drive performance improvements and ensure production interfaces remain durable as the system evolves. Requires strong systems-level experience with concurrency, I/O, and production debugging in C++, Rust, CUDA, or C; a track record of shipping production software; and hands-on expertise in resilient data pipelines and GPU computing.

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.

Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.…See more Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.

Develop prototype AI/ML solutions for ASIC design automation at NXP, exploring state-of-the-art techniques like GenAI, reinforcement learning, graph neural networks, and CNNs to improve VLSI CAD workflows. The role involves collaborating with architecture, IP, and SoC design teams to evaluate and pilot automation applications on leading-edge semiconductor technologies.…See more Candidates must have 5+ years of AI/ML expertise, strong Python/C++ programming skills, and hands-on experience with Unix/Linux, Git, and software development tools. Understanding of VLSI design constraints, EDA tools, and physical design flows is highly desirable.

This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. You'll lead the technical roadmap for agent management—from discovery and provisioning through task orchestration—while ensuring safety, compliance, and governance by design.…See more Working cross-functionally with product, platform, and research teams, you'll build foundational infrastructure for multi-agent collaboration, memory management, and extensibility, driving adoption across the enterprise. The role requires 8+ years in software architecture, backend systems, and Kubernetes/AI infrastructure, with deep expertise in LLM frameworks (LangChain, AutoGen, CrewAI), cloud platforms (AWS, Azure, GCP), and identity/access control patterns.

Design, architect, and deploy on-device AI prototype software for edge computing applications at Qualcomm's AI Research division. You will work with modern deep learning frameworks (PyTorch), optimize neural network models for embedded deployment, and integrate cutting-edge AI technologies into mobile, IoT, and autonomous systems.…See more The role requires strong Python and C/C++ skills, deep learning expertise, embedded software development experience, and solid software engineering fundamentals.

Design and develop Qualcomm's in-house robotics simulation platform and AI infrastructure, integrating modern 3D engines, GPU-accelerated compute, and machine learning to enable robot policy training and validation. Build digital twins, synthetic data pipelines, and hardware-in-the-loop configurations that bridge simulation and real Qualcomm robotics hardware.…See more Partner with robotics researchers to iterate on simulation fidelity, sensor modeling, and continuous learning workflows that move algorithms from simulation to deployed robots. This role demands depth in robotics simulators (MuJoCo, Isaac Sim, Unreal/Unity), GPU programming (CUDA), reinforcement learning at scale, and AI infrastructure orchestration (Kubernetes, Argo Workflows).

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.

Develop high-performance GPU kernels and runtimes for accelerating machine learning and image processing on Qualcomm Adreno GPUs. Optimize drivers for OpenCL, OpenGL ES, Vulkan, and DirectX APIs, working closely with hardware designers to understand and improve hardware/software interfaces.…See more Implement machine learning inference and training acceleration, write unit tests and documentation, and collaborate with partners and OEMs. Requires strong C/C++ skills, familiarity with GPGPU APIs like CUDA or OpenCL, and understanding of data structures, algorithms, and object-oriented programming.

Sr. Staff Software Engineer role designing and developing Multimedia, AI, and Gen AI SDKs/framework components for IoT products including drones, cameras, and media devices.…See more Requires 6+ years of software engineering experience with 3+ years in C, C++, Java, or Python, with strong preference for deep embedded systems expertise, real-time solutions, and AI/ML inference frameworks. Responsibilities include leading architecture and development of GStreamer-based SDKs, driving feature design across diverse product categories, and providing technical leadership on code quality and cross-functional collaboration.