testing jobs in San Diego

This role leads the design and delivery of Manufacturing Execution System (MES) solutions for enterprise clients using Apriso, Opcenter, and Aveva platforms. The architect will translate client business needs into scalable MES architectures, manage end-to-end project delivery from requirements gathering through post-go-live support, and advise senior stakeholders on implementation approaches and transformation opportunities.…See more The position requires 7+ years of MES experience with 5+ years implementing one of the three core platforms, plus demonstrated expertise in requirements analysis, fit-gap assessment, functional design, data mapping, testing, and deployment across multiple implementations.

A forward-deployed engineer who embeds with enterprise clients to identify business needs and build production-grade AI solutions using Palantir platforms (Foundry, AIP, Maven). The role combines solution engineering—developing agentic AI systems, LLM-powered workflows, and scalable patterns with strong testing and CI/CD practices—with client engagement and stakeholder alignment.…See more Requires 3+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir; involves 50% travel and mentoring of junior team members.

As a Workday Adaptive Planning Sr Consultant at Deloitte, you will lead full-lifecycle Enterprise Performance Management implementation projects, managing workstreams for finance, supply chain, and manufacturing clients. You'll gather business requirements, design functional solutions, create prototypes, oversee testing and user training, and configure Workday Adaptive Planning software.…See more The role requires 5+ years implementing Workday Adaptive Planning or similar EPM products, with proven ability to lead multiple enterprise deployments.

Design, build, and operate production-quality agentic AI systems and developer tooling at scale. Lead multi-agent orchestration, Model Context Protocol (MCP) integration, prompt engineering for structured output, and CI/CD automation for code review and testing.…See more Partner with engineering teams on discovery, rapidly prototype and validate capabilities, then own the full lifecycle from implementation through production monitoring. Mentor engineers on agentic design patterns and communicate technical tradeoffs to stakeholders.

This UC San Diego Business Systems Analyst role supports the Integrated Procure-to-Pay (IPPS) supply chain operations by analyzing business processes, configuring systems, and managing integrations across Oracle Cloud, PaymentWorks, Concur, and ServiceNow. The role requires troubleshooting system integration points, identifying production failures, and recommending process improvements while acting as a liaison between business owners, campus clients, and third-party SaaS providers.…See more Success demands strong testing and test planning skills, complex process analysis, and the ability to communicate technical information to both technical and non-technical stakeholders.

Senior Software Engineer role focused on building and scaling full-stack client and team member-facing applications. Owns features end-to-end from problem definition through design, implementation, deployment, and iteration using Next.js/React frontend with NestJS GraphQL backend on AWS/EKS.…See more Expected to leverage AI tools and agentic workflows as a core part of the development process, collaborating with engineering, product, design, and business teams to translate ambiguous requirements into scalable, maintainable solutions.

Design and own full-stack applications for Shield AI's Forge Platform, serving both embedded AI and external agents through shared platform tools. You will build production frontend services in TypeScript and React, backend services in Go, Python, or Rust, and design typed, versioned APIs connecting independently deployed components.…See more Responsibilities span frontend architecture, backend services, state management, distributed-system patterns (routing, async communication, authentication, authorization), and close collaboration with infrastructure and product teams to create intuitive engineering tools.

The Senior EPIC Analyst I – Professional Billing & Claims configures, maintains, and optimizes Epic Professional Billing and Claims applications to support revenue cycle operations in a healthcare environment. Responsibilities include analyzing business requirements, designing Epic workflows, performing system testing, troubleshooting billing and claims issues, and documenting system changes.…See more The role requires expertise in Epic Professional Billing configuration, revenue cycle and billing knowledge (professional fee billing, claims processing, payer rules, coding), and strong collaboration with clinical, operational, and finance teams to provide end-user support and drive process improvements.

Develop scalable AI engineering patterns and production-quality code for government clients, balancing quality, safety, latency, cost, and model risk. Apply strong practices in testing, CI/CD, logging, versioning, and documentation while designing extensible functionality aligned with senior team members.…See more Requires 4+ years of software/data engineering experience, 1+ year building and deploying GenAI or LLM solutions, and 1+ year with Google Cloud (Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration). Lead project workstreams, translate business problems into AI solutions, and contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

Design, develop, and debug embedded software for aerospace systems at Honeywell Aerospace. Collaborate with cross-functional teams to define system requirements, conduct code reviews, implement testing procedures, and ensure timely project completion.…See more The role requires embedded systems expertise and will contribute to innovative aviation technology deployed on 90% of the world's aircraft.

Saronic Technologies seeks experienced Systems Software Engineers to develop software for autonomous maritime systems, working across the full stack from low-level hardware interfaces and embedded systems to backend services and infrastructure. The role requires strong software engineering fundamentals and hands-on experience with cyber-physical systems, sensor/actuator integration, distributed services, and mission-critical reliability.…See more Candidates should have 5+ years of professional experience with C++, Python, Rust, or Go, Linux proficiency, and a track record building systems that interact with real-world hardware in robotics, autonomy, aerospace, or similar domains.

Lead the Firestorm OS team—a Linux-based common software platform across modular autonomous aircraft. You will own technical direction, platform architecture, and execution while coordinating across autonomy, avionics, electrical, mechanical, and systems engineering.…See more Responsibilities include defining system boundaries and interfaces, building reusable Linux services and SDKs, driving integration of new hardware and payloads, and establishing engineering practices for testing, debugging, and release. You must have 8+ years shipping embedded/Linux software, 3+ years leading engineering teams, deep C/C++ and Linux fundamentals, and experience designing platforms and APIs used across multiple products.

Lead Oracle HCM Cloud technical integration programs from strategy through deployment for enterprise clients, managing end-to-end integration design, middleware coordination, data mapping, and system testing. Direct cross-functional technical teams, resolve complex integration challenges, and serve as a senior technical advisor to stakeholders on design, risks, and delivery status.…See more Establish integration quality approaches, oversee system and integration testing, manage defect resolution, and support cutover and go-live activities. Contribute to practice-wide delivery improvements and mentoring.

Design, implement, and verify machine learning software for embedded ARM processors, DSPs, and GPUs in mobile, edge, automotive, and IoT products. Optimize ML kernels, frameworks (TensorFlow, PyTorch), and compilers to leverage specific hardware capabilities; develop in C++, C, or Python with focus on performance tuning and integration testing.…See more Collaborate with hardware teams on joint design/development, coordinate dependencies across teams, and contribute to design reviews and project meetings.

Design, develop, and test embedded firmware running on ground networks, customer terminals, and satellites for Amazon's Project Leo satellite constellation. You will work in a cross-functional team to deliver Leo-MAC firmware components and drivers in real-time embedded environments, making performance and optimization trade-offs, profiling code on RTOS/bare-metal platforms, and defining and debugging firmware-hardware interfaces.…See more Requires 3+ years of professional software development and 2+ years of systems design/architecture experience.

Design, develop, and test embedded firmware code for Amazon's Project Leo satellite constellation, running on ground networks, customer terminals, and satellites. You will optimize performance across MIPs and memory bandwidth, profile code on RTOS and bare-metal environments, define and debug firmware-hardware interfaces, and contribute to multi-dimensional system requirements in a real-time embedded environment.…See more Requires 3+ years of professional software development experience and 2+ years of system design or architecture experience.

Northrop Grumman seeks a Java Software Engineer to develop enterprise solutions in a SOA/JEE environment, working full-time on-site in San Diego. The role involves collaborating across Systems Engineering, DevSecOps, and Test Automation teams in an Agile environment, with responsibilities spanning the full software development lifecycle including design, implementation, build/test/release, and integration.…See more Required skills include Java, C/C++, Python, object-oriented programming, design patterns, JMS, Web Services, XML technologies, and proficiency with tools like Jira, GitLab, Docker, and security scanning platforms. An active Top Secret clearance is required at start, with ability to obtain Special Access Program access before employment begins.

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.

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.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

Senior Forward Deployed Engineer responsible for building and deploying production-grade AI solutions using frontier GenAI platforms (Claude, Gemini, GPT-4o) in client environments. Will lead end-to-end solution delivery, including architecture decisions, demo/POC development, and client enablement while mentoring junior engineers.…See more Requires 5+ years software/data engineering experience, 1+ years hands-on GenAI/LLM development, and demonstrated ability to translate business problems into scalable AI workflows with strong engineering practices (CI/CD, testing, documentation).

The Senior Scientific Platform Engineer will develop and maintain software components, data processing workflows, and platform services that operationalize scientific innovations for clinical studies. The role requires translating research outputs and algorithms into production-grade backend services, APIs, and data pipelines on AWS, while collaborating with Science, Data Science, Product, and Engineering teams.…See more The ideal candidate has 5+ years building analytics platforms or scientific computing solutions, strong Python proficiency, and experience with cloud-native and serverless architectures. The position demands the ability to understand complex scientific methods and transform them into scalable, validated, maintainable software solutions within a regulated healthcare environment.

Senior Data Engineer role focused on building and productionizing GenAI/LLM solutions for data engineering workflows. You will develop RAG and agentic workflows, automate incident triage and root-cause analysis, integrate AI capabilities into internal developer tools, and own projects from problem definition through production support.…See more Required: 3+ years of production systems experience, strong Python/SQL, hands-on GenAI/LLM application building, and software engineering fundamentals including testing, CI/CD, and monitoring.

Lead a group of managers and 30+ engineers across Intuit's tax platform organization, owning the technical vision and roadmap for tax engines, runtime platforms, and Tax Prep APIs. Set technical direction, drive reliability and performance improvements, and embed AI/GenAI capabilities into the platform while maintaining compliance and correctness standards.…See more Manage, coach, and develop engineering managers; build talent systems including hiring, succession planning, and performance calibration. Partner cross-functionally with Product, Design, and AI leaders to shape strategy and resolve systemic friction points affecting tax prep quality.

Design and build production AI solutions including copilots, agents, RAG applications, and workflow automations on Azure OpenAI, Claude, and Microsoft platforms. Write custom code in Python, JavaScript/TypeScript, or C# and leverage low-code platforms like Power Automate and Logic Apps where appropriate, following solid engineering practices (version control, testing, CI/CD, AI output evaluation).…See more Integrate solutions with enterprise systems and APIs with security-first design, own projects end-to-end from deployment through adoption and improvement, and work with security, architecture, governance, and compliance teams to ensure production readiness. Communicate clearly to both technical and business audiences, document designs, and coach teammates on AI capabilities, limits, and risks.