Systems Software Engineer

Job Description

This role requires strong software engineering fundamentals, experience building reliable and maintainable systems in Python and Linux environments, and a solid understanding of software development best practices.

The ideal candidate is comfortable working across system layers—from application logic to data processing—and can contribute to both software infrastructure and analytical workflows.

Key Responsibilities

• Design, develop, and maintain systems-level software in Python
• Build reliable, testable, and maintainable code using modern software engineering practices
• Develop and maintain unit tests and automated test frameworks
• Work in collaborative Agile development environments using Git-based workflows
• Develop and optimize system components running on Linux-based platforms
• Build and support data pipelines, tools, and internal software frameworks
• Collaborate with cross-functional engineering teams (hardware, systems, data, and science teams)
• Support debugging, performance tuning, and system reliability improvements
• Contribute to architecture decisions and software design reviews
  

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or related field
• Strong proficiency in Python with experience building production-quality software
• Solid understanding of Linux operating systems and command-line tools
• Experience with collaborative software development (Git, code reviews, Agile workflows)
• Strong understanding of software engineering best practices (modularity, testing, documentation)
• Experience writing unit tests and building testable software systems
  

Technical Skills

• Advanced Python programming
• Strong experience with software development workflows (Git, branching, CI/CD concepts)
• Unit testing frameworks (pytest or equivalent)
• Linux system usage and scripting
• Familiarity with modern Python libraries and constructs, including but not limited to
  • NumPy
  • Pydantic
  • asyncio
  • typing
  • pathlib
  • itertools
  • collections
• Ability to design clean, maintainable, and reusable software components

Preferred Qualifications

• Experience building or supporting scientific or instrumentation software systems
• Exposure to data analysis, data modeling, or visualization workflows
• Experience working in hardware-software integrated environments
• Familiarity with performance optimization and debugging complex systems
• Strong understanding of asynchronous programming concepts in Python
• Experience contributing to shared software frameworks or platforms

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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