github-copilot jobs in San Diego

Senior Wireless Software Engineer role focused on embedded systems and real-time firmware development for DSP and Arm architectures. Requires deep expertise in modern C/C++, operating systems internals (RTOS), data structures, and embedded debugging techniques.…See more The role uniquely emphasizes AI-native engineering practices, including using AI coding assistants and agentic tools to augment the development workflow, managing AI-assisted code generation and test synthesis, and critically evaluating AI output for safety and correctness in real-time constraints.

Senior Software Engineer responsible for designing and communicating architectural decisions across technical and non-technical teams at a healthcare technology company. Will reduce technical debt, improve developer experience, provide code and design reviews, and mentor engineers in AI-enabled development practices.…See more Requires 8+ years of software engineering experience with strong fundamentals in production systems, APIs, distributed systems, cloud-native applications, CI/CD, and observability. Should demonstrate leadership in technical initiatives, influence without formal authority, and hands-on proficiency with AI-assisted development tools while maintaining code quality accountability.

Associate Software Engineer at Resmed will design, build, test, and deploy cloud-native applications and services that solve real healthcare customer problems. The role emphasizes modern software engineering practices, APIs, testing, and version control, with hands-on experience across the full development lifecycle from idea to production.…See more You'll use AI-assisted development tools and coding agents to support development and learning, and participate in code reviews, automated testing, CI/CD, and incident response. The position requires 2+ years of software development experience, strong programming fundamentals in a modern language, and genuine curiosity about how emerging AI-enabled engineering workflows can improve software development.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. You will own end-to-end feature delivery from requirements through on-target bring-up, apply rigorous data-structure and algorithm design, and pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows.…See more Debug complex multi-layer issues on target hardware using JTAG, logic analyzers, and AI-assisted log/crash analysis. Mentor peers on embedded fundamentals and AI-native engineering techniques while contributing to design reviews and engineering standards.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on AI agents and platforms across the Software Development Lifecycle. You'll develop scalable, reliable systems with strong proficiency in backend technologies (Java, Go, Python), design RESTful APIs, work with SQL/NoSQL databases, and apply AI/ML technologies including agentic AI and LLMs.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platform development, with hands-on expertise in Kubernetes, containerization, and cloud platforms. You will collaborate with cross-functional teams, mentor engineers, and stay current with emerging AI/ML and cloud-native technologies.

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.…See more 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.

Lead end-to-end automation testing for web and mobile applications using Java, Selenium, Playwright, and TestNG, with specialized expertise in AI/LLM model evaluation and Generative AI testing. Design and maintain robust automation frameworks for regression, functional, and integration testing while creating comprehensive test plans for both traditional software and AI-based applications.…See more Evaluate LLM outputs against expected behavior, validate prompt/response quality, and document model-quality findings. Collaborate with developers, product owners, and stakeholders using Shift-Left Testing practices and Agile methodologies, leveraging AI-powered tools like GitHub Copilot and ChatGPT to enhance testing efficiency.

Senior Software Engineer role focused on building scalable payment infrastructure and banking integrations. Responsibilities include designing and implementing core platform services and APIs, building secure integrations with financial institutions, ensuring high availability and system reliability, and collaborating across teams on fintech solutions.…See more Requires 5+ years of backend systems experience with strong proficiency in Java, Spring, Kubernetes, microservices architecture, and cloud platforms (AWS, GCP, or Azure), plus understanding of payments processing, financial compliance, and security best practices.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Senior Software Engineer role building scalable, data-intensive real estate analytics applications using modern full-stack technologies. Requires 7+ years of software development experience with deep expertise in server-side languages (.NET, C#, Node.js), front-end frameworks (React, JavaScript), relational databases (SQL Server), and proven experience using AI-assisted development tools (GitHub Copilot, Claude Code) in production.…See more Responsibilities span full lifecycle ownership—design, development, testing, deployment, and production support—with emphasis on code quality, architectural collaboration, and continuous improvement within an analytics platform team.

Lead three technical teams across data warehousing, Dynamics platforms, and web applications in a Microsoft-centric enterprise environment. Provide architectural guidance, code review oversight, and cybersecurity/compliance direction while driving adoption of AI-assisted development tools and agentic processes.…See more Mentor teams through modernization initiatives and transformative AI adoption, balancing priorities across a fast-paced, dynamic organization. Requires 2+ years of recent experience managing enterprise software developers in Microsoft environments (Entra, Azure, Power Platform, Foundry, .NET Core) designing scalable, secure architecture.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio driver stack solutions (UMDF/KMDF) that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets.…See more Debug complex multi-threaded, multi-processor issues across hardware/software boundaries and optimize for low-power always-on scenarios. Collaborate with cross-functional teams (hardware, DSP, ML, systems, product) and communicate status, risks, and mitigations to stakeholders.

Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.…See more The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.

Own end-to-end feature development for Voice AI on Windows, including wake-on-voice, ASR, translation, transcription, and TTS. Design and implement Windows audio and driver stack solutions leveraging Qualcomm SoC capabilities while meeting strict latency and power targets.…See more Build components across user-mode and kernel-mode boundaries using UMDF/KMDF, integrating with Windows audio frameworks. Optimize performance and debug complex multi-threaded issues across hardware/software boundaries.

As a Software Architect, you will design AI-first software development lifecycles and lead teams in building GenAI-integrated platforms. You'll architect solutions using prompt engineering, RAG, embeddings, and agentic AI while managing multi-developer environments where AI agents and engineers collaborate.…See more You'll own product architecture, prototype AI-driven solutions with modern DevOps and observability, and coach teams on AI-accelerated development practices. The role requires 6+ years of production software experience, hands-on use of agentic IDEs, proven GenAI integration delivery, and strong architecture expertise across APIs, microservices, cloud platforms, and CI/CD.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

ResMed seeks a full-stack software engineer with 5+ years of experience to own features across the entire development lifecycle—from design through production. You'll work with a micro-frontend React architecture, design and implement microservices, manage Kubernetes infrastructure, and extend automated testing frameworks.…See more The role spans frontend and backend development (Java/TypeScript preferred) plus DevOps and infrastructure tasks, with occasional production support.

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 test agent behavior for an AI-driven service, including test case design and evaluation checks distinct from traditional software testing. Support data ingestion pipelines using AWS and BigData tools (PySpark, Airflow), collaborate with product and senior engineers to ship features, and contribute to production support (monitoring, alerting, incident response).…See more Requires 1–2 years of software engineering experience, a Master's in Computer Science or related field, proficiency in Python or another backend language, SQL/NoSQL fundamentals, basic REST API design, and hands-on experience with at least one LLM project (tool calling, chaining, retrieval, or multi-step coordination). Self-directed learner excited about AI tooling and focused on shipping end-to-end products.

This is a high-ownership QA role at an early-stage AI validation startup where you'll design and build testing strategy, test infrastructure, and quality processes from the ground up. You'll perform manual and automated testing of CLI tools, web dashboards, and integrations with AI coding assistants (Claude, Cursor, GitHub Copilot, etc.), validate scan accuracy, and own bug triage across multiple operating systems and language ecosystems.…See more You'll work directly with founders and engineering to build testability into the product and define QA processes as the team scales, with responsibilities spanning test case design, automated regression/integration/end-to-end testing, and release sign-off.

Staff-level engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's Delegates ML inference framework. Develops and maintains Python/PyTest-based automated test suites integrated into CI pipelines, triages failures across the ML framework, QNN runtime, and HTP hardware stack, and owns the technical handoff criteria and traceability to downstream QA/SIT teams.…See more Leverages AI-assisted tooling (Claude Code, GitHub Copilot) to accelerate test generation and failure analysis. Mentors junior engineers and sets team standards for test coverage, debugging discipline, and documentation.

A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.…See more The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.

Senior Windows audio software engineer responsible for end-to-end feature development of Voice AI capabilities on Windows, including wake-on-voice, on-device ASR, translation, transcription, and TTS. The role requires designing and implementing Windows audio and driver stack solutions that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets, with work spanning user-mode and kernel-mode boundaries (UMDF/KMDF).…See more Responsibilities include gathering technical requirements, optimizing low-power audio architecture for always-on use cases, and debugging complex multi-threaded and multi-processor issues across hardware/software boundaries. The engineer will collaborate with cross-functional teams (hardware, DSP, systems, ML, product) and communicate status, risks, and roadmap contributions to technical leads.