Embedded Software Engineer II

Required Qualifications

• Proficiency in C and C++programming languages
• Understanding of communication protocols and interface buses
• Knowledge of general-purpose input/output (GPIOs) Knowledge of microcontrollers, real-time operating systems, and device drivers Ability to define and implement required tests for unit-level and system-level integration tests
• Understanding of data manipulations on large datasets and memory optimization techniques
• Experience building Windows application installation packages.
• Strong understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with version control systems (e.g., Git).
• Experience in managing software development, especially in an Agile or Scrum environment
• Experience in budgeting, resource allocation, risk management for software projects
• Ability to work in a collaborative setting with mechanical, control, application, and test engineers

Preferred Qualifications

• Experience with machine learning algorithms and AI techniques.
• Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Ability to develop and implement AI models for spectrochemical data processing.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models.
• Knowledge of data preprocessing, feature extraction, and data augmentation techniques.
• Familiarity with Chemometrics
• Understanding of the principles of spectroscopic instrumentation, analysis methodology, and test schemes
• Machine Learning Experience in image processing and / or classification models
• Experience with industrial lasers

Educational background

Experience