Software Engineer

Datacor is seeking an early-career Software Engineer for its Flow Simulation team. The role involves building and maintaining fluid-flow simulation applications across their software layers, diagnosing defects, contributing to modernization and development tooling, and collaborating with engineering and product teams.

Responsibilities:

• Design, build, and maintain features across all layers of our Windows desktop applications, working from requirements with guidance from senior engineers
• Diagnose and fix defects anywhere in the codebase, including customer-reported issues escalated from our Support team
• Contribute to internal tooling, build automation, CI/CD pipelines, and test infrastructure
• Take part in our ongoing modernization, including new architecture and user interface frameworks
• Write clean, maintainable, well-tested code, and take part in code reviews, both giving and receiving feedback
• Share team responsibilities such as build pipeline and bug-triage rotations
• Collaborate with engineers, QA, Product Management, and domain experts to deliver solutions that meet user needs
• Stay on top of industry trends, and use modern tools, including AI coding assistants, responsibly to continuously improve your skillset

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field (or equivalent experience)
• 0–2 years of professional software development experience; internships, co-ops, and substantial academic or personal projects count
• Proficiency in at least one object-oriented language, preferably C# (VB.NET, Java, or C++ also welcome)
• Solid grounding in computer science fundamentals: object-oriented design, data structures, and algorithms
• Working knowledge of version control, including branching, commits, and merging
• Demonstrated ability to write clean, readable, and maintainable code
• Strong problem-solving and debugging skills, and the judgment to ask for help when stuck
• Excellent communication and collaboration skills
• Experience with the .NET ecosystem and Visual Studio
• Exposure to user interface development, whether desktop (WPF, WinForms) or web
• Experience writing unit tests or working with automated testing
• Familiarity with scripting languages such as Python or PowerShell
• Experience with Git, including pull requests and code reviews
• Familiarity with CI/CD pipelines, Agile practices, or tools such as Jira and Bitbucket
• Familiarity with data serialization (JSON, XML) or multi-threading concepts
• Experience using AI coding assistants thoughtfully, including verifying the code they produce
• Interest in engineering, scientific, or simulation software