Research Programmer III will develop machine learning and computational methods to understand behavior and neural activity in the Kennedy Lab at Scripps Research. The role involves building and training deep neural networks for supervised, unsupervised, and reinforcement learning problems, applying computer vision for high-throughput animal phenotyping, and contributing to scientific papers.… Candidates must have 4+ years of software development experience in Python with demonstrated expertise in deep learning, version control (git/GitHub), and software engineering principles. The position offers opportunities to lead independent research projects on datasets from collaborating institutions and is ideal for those building toward graduate studies in computational neuroscience or machine learning.
machine-learning jobs in San Diego
Senior Data Architect with 15+ years of experience designing and implementing enterprise data platforms that support modern AI/ML and Generative AI applications. Must have strong hands-on expertise in ETL/ELT, Python, SQL, and enterprise data warehousing, with production experience in Treasure Data, real-time analytics, streaming pipelines (Apache Kafka), and AI-ready data architectures including RAG, vector databases, and LLM integrations (LangChain, LangGraph, Azure OpenAI, AWS Bedrock).… Will design batch and real-time enterprise data architectures on cloud platforms (AWS, Azure, GCP, Snowflake, Databricks) with CDC/Debezium incremental processing capabilities.
Qualcomm seeks a Software Engineer to develop power and limits management software for chipsets and SoCs. The role involves analyzing requirements, designing software solutions optimized for power efficiency, performing detailed analysis of existing software to improve performance and memory utilization, and developing profiling and debugging tools.… Candidates will work across pre-silicon to commercialization, collaborating with system, power, hardware, and software engineers, and may scope hardware acceleration opportunities.
Build, deploy, and continuously improve MITRE ATT&CK–aligned threat detections across cloud, endpoint, identity, email, and application telemetry. Own the full detection lifecycle from hypothesis and data validation through deployment, tuning, and retirement, advancing a detection-as-code platform with version control, peer review, automated testing, and CI/CD.… Evaluate AI-powered security capabilities including LLMs, anomaly detection, and response automation. Partner with Security Operations on investigations, incidents, and detection maintenance.
Qualcomm seeks a Software Engineer to develop end-to-end solutions across the Android Stack and Linux kernel, working in both user space and kernel space. The role involves collaborating with systems and architecture teams to build system-level software adhering to Android framework and Linux kernel principles.… Required expertise includes OS fundamentals, Linux kernel, device driver models, and hands-on experience with Java, C++, Python, Android Application Framework, native services, and debugging tools (gdb, T32, crash analysis). Experience with Linux kernel driver development and AI/ML software development is preferred.
Senior Staff Software Engineer leading a small team to develop end-to-end solutions across the Android stack and Linux kernel, working on both user space and kernel space components. The role requires deep expertise in operating systems, Android frameworks, and Linux kernel programming, with collaboration across systems, multimedia, and architecture teams.… Candidates must have 6+ years of software engineering experience (or equivalent with advanced degree) and 3+ years hands-on programming in C, C++, Java, or Python, with preferred experience in Android Application Framework, kernel drivers, debugging tools, and system-level programming.
Build and scale evaluation tooling to measure how well AI-powered software development tools perform. Develop evaluation harnesses, automate benchmark runs, and ensure reproducibility through versioned processes with pinned dependencies and containerized environments.… Validate evaluation approaches against human judgment, analyze results for variance and failure patterns, and work with engineering teams to improve automation workflows. This role requires strong software engineering foundations in automation and testing, hands-on experience with AI coding agents, and proficiency in Python, Java, or JavaScript.
As a Machine Learning Engineer at Qualcomm, you will design, develop, and deploy AI and Generative AI solutions for the Nimbus product line, focusing on network optimization, Digital Twin technologies, and LLM-based applications. You will collaborate with cross-functional engineering, product, and domain teams to translate business requirements into production-ready AI-enabled solutions, staying current with emerging AI technologies and best practices.… The role requires hands-on experience with model development, evaluation, deployment, and operationalization, along with strong software engineering practices for scalable and maintainable systems. You must communicate technical concepts effectively to both technical and non-technical audiences.
Staff or Senior Staff Software Engineer role leading design and development of Qualcomm's AI Stack (QAIRT/Genie) to enable efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Responsibilities include developing core runtime components for resource-constrained inference systems, optimizing performance/accuracy/power consumption, debugging complex issues, and mentoring junior engineers.… Requires 5–8+ years of software development experience with strong C/C++ and Linux proficiency, plus knowledge of hardware acceleration and embedded AI deployment.
Build and deploy production-ready AI solutions using LLM orchestration platforms (LangChain, LangGraph, CrewAI, n8n) and agentic workflows that integrate with existing data infrastructure like Snowflake. Develop sophisticated prompt engineering and RAG systems with vector databases, conduct independent data analysis to identify AI opportunities, and translate technical work into clear insights for leadership.… Move solutions from concept to deployed, maintainable tools with proper documentation and intuitive interfaces. Collaborate cross-functionally with data scientists, analysts, and stakeholders to drive organizational impact.
This Staff AI Engineer role focuses on architecting and implementing secure, scalable frameworks for autonomous AI agents at enterprise scale. The engineer will lead the technical roadmap for agent management—from provisioning and orchestration to compliance and retirement—while ensuring AI agents are secure by design with built-in visibility and guardrails.… The role requires 8+ years of software architecture and backend systems experience, deep knowledge of autonomous agent frameworks (LangChain, AutoGen, CrewAI), and expertise in cloud infrastructure (AWS, Azure, GCP) and Kubernetes. You'll collaborate cross-functionally with researchers, platform engineers, and product teams to bring agentic AI capabilities to production while establishing best practices for agent safety, observability, and ethical deployment.
As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems for a manufacturing intelligence platform spanning planning, simulation, and AI assistance. You'll design scheduling and resource-allocation solvers, build analytics layers for operational intelligence, and lead LLM integration for both cloud and air-gapped DoD deployments.… The role requires 5+ years shipping production optimization or ML systems, deep Python proficiency, hands-on experience with MILP/constraint solvers or OR-Tools, and strong applied math skills in combinatorial optimization and statistical modeling.
Lead hands-on modernization of legacy SSIS/SSRS ETL workloads into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design and enforce standardized data frameworks (ingestion, transformation, curation, consumption), drive CI/CD and observability practices, and mentor engineers on modern data engineering patterns.… Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming, AI-driven observability) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, GitHub Copilot, Cursor AI) to accelerate development and reduce technical debt. Optimize Spark workloads and orchestration across Azure and GCP environments while partnering with architects, platform engineers, and business stakeholders.
Sr. Technical Program Manager responsible for owning end-to-end delivery of account integrity programs spanning multiple engineering and ML teams, from scoping through launch and operational readiness.… The role requires managing cross-functional dependencies, driving engineering prioritization, defining success metrics, and writing strategy documents for leadership. Requires 5+ years of technical product/program management, 7+ years working directly with engineering teams, and 3+ years of software development experience.
Design, build, test, and operate production ML and LLM-powered components for cybersecurity applications at scale. You will turn ambiguous requirements into working code, partner across product and security teams, and apply AI safety and guardrail practices.… The role requires solid software engineering fundamentals, hands-on experience building production ML/LLM applications (RAG, embeddings, agents), and the ability to take prototypes to reliable, maintainable systems. You'll work with distributed systems, cloud-native technologies, and graph/data plumbing while contributing to code reviews and raising team quality standards.
The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government (GCCH) environments, with a focus on LLM and RAG implementations. Responsibilities include testing and optimizing LLMs and model variants, benchmarking RAG systems, building MCP server integrations to connect AI agents to enterprise data, implementing agentic AI workflows using platforms like N8N and Copilot Studio, and developing modular AI microservices.… The role also involves supporting security practices (RBAC, Key Vault, data protection), monitoring and incident response for AI workloads, and helping BI and DevOps teams adopt AI capabilities toward production. A Bachelor's degree in Computer Science or related field and 1–2 years' experience with LLMs, RAG, or AI solution development are required.
Join Booz Allen's competitive Summer Games internship program as a software developer intern, working in teams to solve complex, real-world challenges for government customers. You'll apply programming skills in Java, JavaScript, C, C++, Python, or similar languages alongside machine learning, data mining, or graph algorithms to develop breakthrough solutions.… The program includes mentorship from senior leaders, technical documentation and design artifact creation, and culminates in a final Challenge Cup competition and presentation. You must be scheduled to graduate with a Bachelor's degree in Technology, Engineering, or Mathematics by Summer 2028 or 2029, and be able to obtain a Secret clearance.
Join an innovative summer internship program where you'll work in teams on real-world technical challenges for government and commercial clients. You'll apply programming skills (Java, JavaScript, C, C++, Python, etc.) and experience with machine learning, data mining, or graph algorithms to develop software solutions, produce technical documentation, and present findings to senior leadership.… The program simulates a startup accelerator environment with mentorship, collaboration, and a final competition-style presentation.
Design and develop compiler features, optimizations, and toolsets for Qualcomm hardware in open source projects including GCC, LLVM, and glibc. Collaborate with hardware and software teams to enable efficient code generation, improve performance, and enhance programmer usability across applications including machine learning on edge devices.… Identify optimization opportunities through benchmarking, code analysis, and user interaction, and contribute compiler and system software improvements to open source communities.
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.… The position requires advanced skills in HPC performance analysis, machine-learning deployment on innovative hardware, complex computing environment troubleshooting, and hands-on Kubernetes experience.
Software engineer responsible for building and integrating applications across laboratory systems, data pipelines, and enterprise platforms in an oncology context. The role emphasizes full-stack development (Python/Django/Flask backend, JavaScript/TypeScript frontend), cloud deployment on AWS, CI/CD and containerization practices, and increasingly AI-enabled capabilities such as LLM-powered data access and agentic workflows.… Requires 4+ years of professional software engineering experience, strong collaboration with scientific and operational stakeholders, and ownership of application reliability, documentation, and lifecycle planning.
The AI Engineer designs, builds, and operates production-grade AI solutions in Azure Government environments, focusing on LLM and RAG implementations, agentic AI workflows, and secure enterprise integrations. Responsibilities include testing and optimizing language models, benchmarking RAG systems, building MCP server integrations, implementing multi-step AI agents using platforms like N8N and Copilot Studio, and developing modular AI microservices.… The role requires hands-on support for security (RBAC, Key Vault, data protection), monitoring, and incident response in Azure Gov, with a focus on moving proofs of concept toward production deployment.
Staff Engineer or Architect role focused on building and orchestrating AI agents in a compliance-heavy, globally regulated environment. You will troubleshoot novel failures across models, tools, and infrastructure; set technical vision; and leverage LLMs, RAG, tool use, and agent frameworks (LangGraph, CrewAI, AutoGen) in production systems.… Requires 8+ years of software engineering experience, hands-on LLM and agent-framework work, end-to-end ownership, and demonstrated ability to use AI agents effectively in your own workflow while maintaining accountability and clear mental models of system behavior.
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.… 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.
Engineer Software Quality
ExpiredEngineer Software Quality at Northrop Grumman will collaborate with program and engineering management to establish and monitor quality standards, witness software qualification and system acceptance tests, and ensure compliance with contractual and AS9100D requirements. The role involves assessing supplier capability, performing process evaluation audits, reviewing engineering artifacts for consistency, and tracking software anomalies to closure.… Responsibilities include metrics collection and reporting, traceability assessment from source code to system requirements, and corrective action oversight. The candidate must hold or obtain a DoD Secret clearance and demonstrate knowledge of Agile processes, C#/C++, Python, process monitoring, and software code review.