Software Development Engineer I - MLB

Position Summary The Software Development Engineer I develops tests, documents, deploys, and maintains software solutions for Manufacturing Engineering. The role applies to software engineering fundamentals to well-defined operational problems involving user interfaces, Python services, databases, analytics, manufacturing data, and system integrations. Working within established architecture, engineering standards, and review processes, the engineer owns well-defined deliverables, investigates technical problems, and contributes to reliable solutions used in an aerospace manufacturing environment. Guidance is available for unfamiliar technologies, complex integrations, and production-impacting decisions. Job Responsibilities Software development and testing Develop, test, and maintain well-defined features for user-facing applications and backend services; correct defects; and support-controlled production maintenance activities. Develop clear and accessible interfaces using established frontend patterns, user requirements, and acceptance criteria. Create and update APIs, data-processing functions, and background tasks using established architecture, coding standards, and peer review. Write unit and integration tests, participate in code reviews, resolve review feedback, and document implemented behavior. Data and manufacturing systems Write SQL queries, perform basic data analysis, and implement approved changes to relational data models for manufacturing applications. Develop and maintain defined components for data ingestion, validation, transformation, and traceability from documents, spreadsheets, structured files, equipment, or telemetry sources. Develop and support defined integrations among manufacturing applications, databases, enterprise systems, and equipment interfaces using documented requirements, approved data contracts, and established security controls. Analyze software logs, data quality issues, and representative examples; identify probable causes; and escalate issues that require broader architectural or production decisions. Applied analytics and AI Develop or integrate defined analytics, classification, anomaly detection, retrieval, or AI-enabled components when included in the assigned project, with appropriate technical review. Evaluate outputs against defined acceptance criteria, document limitations and test results, and route uncertain or high-impact results for review. Follow established controls for data privacy, access, model or dataset versioning, and reproducibility. Delivery and collaboration Participate in technical discovery and translate defined requirements or user stories into development tasks, acceptance criteria, estimates, and implementation plans for assigned work. Apply established practices for source control, testing, accessibility, security, deployment, configuration management, and controlled changes. Communicate progress, technical findings, risks, and support needs clearly to engineers, operators, and domain specialists. Prepare concise technical and operating documentation for the solutions developed. Required KNOWLEDGE, SKILLS AND ABILITIES Bachelor’s degree in Software Engineering, Computer Science, Computer Engineering, Information Technology, or a related field, completed by the position start date. Demonstrated programming experience through coursework, capstone projects, internships, research, or professional work using Python or another object-oriented programming language. Working knowledge of JavaScript or TypeScript and web application fundamentals. Working knowledge of SQL, relational database concepts, and common data structures. Familiarity with Git or another version-control system. Understanding of REST APIs, client/server applications, debugging, and fundamental software testing concepts. Ability to independently progress on well-defined tasks, ask for support when needed, learn unfamiliar technologies, document solutions, and collaborate with technical and non-technical team members. Strong attention to detail and commitment to safe handling of company and production data. Desired Coursework, capstone, internship, research, or project experience with React, TypeScript, FastAPI, PostgreSQL, Oracle, or similar technologies. Experience with unit testing, integration testing, continuous integration, Docker, or automated build tools. Exposure to data pipelines, data visualization, machine learning, embeddings, large language model APIs, or retrieval-augmented generation. Exposure to C#/.NET, Electron, hardware interfaces, serial communication, simulators, telemetry, MES, or other manufacturing systems. Interest in aerospace, manufacturing operations, process improvement, predictive maintenance, or industrial digitalization. Technology Exposure The engineer may work with technologies used by the team. Prior experience with every item is not required. Applications and APIs: Python, FastAPI, React, TypeScript, Vite, Next.js, Node.js, Electron, and C#/.NET. Data and analytics: PostgreSQL, Oracle, SQLite, DuckDB, SQLAlchemy, Polars, Pandas, and visualization tools. AI and advanced data: scikit-learn, PyTorch, Transformers, embeddings, vector search, graph data, and retrieval-augmented generation. Delivery and quality: Git, pytest, Vitest, Playwright, Ruff, mypy, Docker, Compose, continuous integration, and Windows operational scripts. Integrations: REST, OpenAPI, OAuth2 or OIDC, JWT, WebSockets, server-sent events, enterprise APIs, equipment interfaces, and serial or UDP protocols. MEASURES OF SUCCESS Delivers well-defined software features that meet acceptance criteria, communicate progress or blockers promptly, and seek technical review for unfamiliar, complex, or production-impacting work. Produces readable, maintainable, tested, and documented work that follows established team standards and addresses review feedback. Build proficiency in the technologies and manufacturing processes used by assigned projects and progressively takes ownership of larger or less-defined deliverables. Handles data, system access, and production-related changes responsibly and follows required review and approval processes. Contributes constructively to collaboration among software, Manufacturing Engineering, operations, and other domain teams. Working Conditions / Environment/Special Requirements Ability to work in a safe and professional manner while adhering to applicable regulatory and company requirements. Ability to work collaboratively in office, laboratory, and manufacturing environments as required by the assigned project. Work involving production systems, sensitive data, or operational changes will be performed under appropriate supervision and established controls. Representative technology environment Applications and APIs: Python, FastAPI, React, TypeScript, Vite, Next.js or Node.js, and Electron Data and AI: PostgreSQL, Oracle, SQLite, DuckDB, SQLAlchemy, Polars or Pandas, PyTorch, Transformers, and vector or graph search Delivery and quality: Git, pytest, Vitest, Playwright, Ruff, mypy, Docker and Compose, CI, and Windows operational scripts Integrations: OpenAPI, OAuth2 or OIDC, JWT, WebSockets, server-sent events, enterprise APIs, commerce APIs, and serial or UDP protocols GENERAL COMMITMENT FOR ALL EMPLOYEES Performs duties as assigned and communicates when additional guidance is needed. Demonstrates initiative, professionalism, and commitment to company values, policies, directives, and procedures. Incorporates Lean and continuous-improvement concepts into daily activities where applicable. Honors and protects confidential and proprietary documents, systems, and information. Satisfies work schedule requirements. This job description is not designed to cover or contain a comprehensive listing of all activities, duties, or responsibilities required of the employee. Embraer is an Equal Opportunity Employer.