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.
KNOWLEDGE, SKILLS AND ABILITIES
Required:
- 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.