Software Engineer

• Design, build, and manage data and inference pipelines and integrations
• Develop machine learning classification and applications supporting high-impact clinical insights initiatives
• Deliver industry-leading capabilities as a senior member of the team
• Participate in business planning and technical strategy
• Innovate in technology, team processes, and development practices
• Collaborate with Architects, Developers, Data QA Engineers, DevOps, Product Owners, and Scrum Masters
• Work with IDEXX’s core clinical data assets
• Contribute to software and data engineering solutions that enable medical insights and improve pet health
• Mentor and coach junior Development and QA team members

Senior Application Developer

• Design, develop, test, deploy, and support enterprise integration solutions
• Develop MuleSoft APIs and integrations using the MuleSoft Anypoint Platform
• Build RESTful APIs and implement API-led Connectivity
• Perform data transformation using DataWeave 2.x
• Create and maintain MUnit test suites and automated tests
• Manage APIs using MuleSoft API Manager and API Gateway
• Apply API lifecycle management, error handling, logging, monitoring, and resiliency patterns
• Use CI/CD tools to support development and deployment
• Provide production support, troubleshooting, incident resolution, and root cause analysis
• Create reusable integration assets and shared frameworks
• Participate in code reviews and produce technical documentation

Senior Mulesoft Developer

• Design, develop, enhance, and maintain enterprise applications
• Support modernization of complex and legacy application environments
• Develop scalable services and application components using modern Java technologies
• Design and integrate REST-based services and APIs
• Support event-driven application integration using Kafka
• Develop and maintain database integrations and application data access components
• Participate in CI/CD and automated software delivery processes
• Collaborate with architects, engineers, testers, security teams, and other development professionals
• Support troubleshooting, optimization, integration, and technical documentation activities
• Contribute to application-development standards and modernization practices

Lead Application Developer – SME

• Design and optimize generative AI solutions using GPT 4/5, Claude, Gemini, and Azure OpenAI
• Perform prompt engineering, fine-tuning, and retrieval augmented generation (RAG)
• Implement agentic LLM architectures with structured outputs, chain-of-thought/chain-of-debate methods, and multi-agent orchestration
• Build and maintain prompt libraries, evaluation frameworks, and QA pipelines for defense-grade AI content
• Integrate generative AI into existing platforms through documented APIs and ensure interoperability with DoD systems including Maven, C2IE, and IRIS
• Research emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations
• Translate COCOM operational requirements into deployable AI solutions
• Support TTX events and platform demonstrations
• Implement Responsible AI practices including bias detection, validation, hallucination mitigation, and human-in-the-loop workflows
• Support MVP-aligned milestone delivery, TRL progression, and ROI measurement
• Document novel prompting techniques, model configurations, and workflows that may constitute intellectual property or trade secrets

Generative AI Specialist – AI & ML Developer

• Lead development of advanced RF and microwave products and subsystems within the Signal Solutions line of business
• Provide technical leadership for architecture, design, development, integration, and verification of RF receivers, tuners, and RF/microwave subsystems
• Supervise and manage a team of RF engineers and manage resources across multiple concurrent programs
• Manage budget, cost, schedule input, and completion of engineering activities on time and within budget
• Drive design-to-cost and design-for-manufacture requirements
• Lead component-level and circuit-card-level RF development involving amplifiers, LNAs, mixers, filters, attenuators, switches, synthesizers/PLLs, frequency-conversion architectures, and associated RF components
• Guide RF architecture and design trades involving frequency planning, gain distribution, noise figure, dynamic range, linearity, compression, IP2/IP3, spurious performance, phase noise, isolation, and sensitivity
• Use RF modeling and simulation tools to predict and optimize performance before hardware implementation
• Lead schematic, component selection, design, layout, test-readiness, and technical peer reviews
• Correlate simulation, laboratory measurements, qualification results, and production performance
• Provide technical leadership during hardware bring-up, integration, troubleshooting, and root-cause investigations
• Partner with Systems, Digital/FPGA, Embedded Software, Mechanical, PCB, Test Engineering, Manufacturing, and Program Management teams
• Ensure designs address manufacturability, testability, reliability, environmental requirements, and production transition
• Establish reusable RF architectures, design practices, modeling approaches, analysis methods, and engineering standards
• Drive continuous improvement to reduce design iterations, improve first-pass success, and identify technical risk earlier
• Support proposals, RFP/RFQ responses, technical estimates, basis-of-estimate development, and customer presentations
• Develop and maintain a long-term RF technology and capability roadmap
• Support RF lab capability and test-equipment planning
• Mentor engineers and develop future RF technical leaders and subject-matter experts
• Communicate technical risks, tradeoffs, status, and recommendations to leadership, program management, customers, and stakeholders
• Attend engineering, customer, and business meetings
• Support and reinforce the organization’s mission, values, and culture

Manager, RF Engineering

• Write effective, scalable Python code supporting CMS as it merges systems into one AI-driven platform
• Automate build, test, and deployment workflows using Jenkins and Infrastructure as Code tools such as Terraform and Ansible
• Own CI/CD pipelines end to end
• Build and maintain automated unit, integration, and regression test suites
• Integrate test-coverage analysis, code-quality checks, and security gates using tools such as SonarQube and Snyk
• Package and deploy workloads with Docker and related containerization tools
• Investigate and debug test failures, update tests, and file bugs as needed
• Collaborate with human-centered design experts to build intuitive, responsive, personalized solutions
• Develop and tune back-end components to improve responsiveness and performance

• Lead and execute end-to-end clinical database programming activities for assigned clinical studies
• Design, build, configure, test, and maintain electronic data capture databases
• Develop and implement edit checks, derivations, form logic, field dynamics, and other database functionality
• Create, validate, and maintain data transfer specifications and external data integrations
• Load, reconcile, and process non-CRF data from external sources
• Define data collection requirements with study teams and align them with protocol objectives and regulatory expectations
• Enforce data standards, data integrity principles, and quality expectations throughout the clinical data lifecycle
• Review and provide input on data management plans, study documents, CRFs, edit check specifications, and related documentation
• Support study milestones through timely delivery of complete, accurate, and reliable clinical data
• Contribute to database lock activities and inspection and audit readiness
• Develop, test, and maintain reports, listings, dashboards, and data review tools using SQL, SAS, or other reporting technologies
• Use data analytics and reporting solutions for data review, issue identification, and study oversight
• Troubleshoot database and data management programming issues with IT and system vendors
• Serve as a technical subject matter expert for clinical database programming and EDC functionality
• Establish working relationships with cross-functional stakeholders involved in clinical study execution
• Communicate study progress, risks, and technical considerations to project teams and management
• Provide guidance and mentorship to team members as appropriate
• Participate in process improvement initiatives and advance data management standards, tools, and best practices
• Identify opportunities to improve efficiency, quality, and consistency across clinical data management programming processes
• Support implementation of new technologies, methodologies, and industry best practices
• Contribute to departmental initiatives and organizational goals related to clinical systems and data management

Clinical Database Programmer

• Collaborate directly with mission stakeholders, developers, and analysts
• Innovate and automate tradecraft and technical solutions
• Deliver immediate operational impact to mission workflows

Senior Signals Analytic Technique Developer

• Fabricate Composite and Metallic test articles and specimens
• Perform vacuum bagging of samples for testing support or Engineering and Operations Production needs
• Participate across other Lab functional areas based on daily work demand and priorities
• Work with minimum supervision using drawings, process instructions, test plans, or other written specifications
• Meet production, technical, schedule, cost, quality, and safety requirements under Team Leader direction
• Support Team Leaders in meeting business and department objectives
• Operate equipment within assigned lab functions and perform hands-on work
• Use office productivity tools including Word, Excel, and PowerPoint

Software Engineer jobs in Maryland

Senior Application Developer

Senior Mulesoft Developer

Lead Application Developer – SME

Generative AI Specialist – AI & ML Developer

Manager, RF Engineering