Skills & Experience:
Experience Level: 7+ years of hands-on experience in programming and/or modelling. You've navigated complex codebases, conquered debugging challenges, and implemented algorithms that dont just workthey shine
Programming Mastery: Proficiency in C or C++ is a must (Python for machine learning is the icing on the cake). Youll be translating complex concepts into code, so knowing your way around a compiled language is non-negotiable
Machine Learning Know-How: Some experience with machine learning is essential; youll be expected to train models, understand key ML principles, and deploy code with precision
Signal Analysis & Algorithm Design: Familiarity with signal processing techniques and designing/testing algorithms is key. Experience with Doppler radar, machine vision, or geometric sensor calibration? Even better!
Toolkit Bonuses: If youre familiar with Qt or other development frameworks, and youre comfortable with Git and Maven for source code management, youll feel right at home
Communication & Collaboration Skills: Strong communication is essential. Youll work closely with a team, so being able to share complex ideas in a way that doesnt require a Ph.D. to understand is a big plus
Attributes We Admire: A proactive mindset, exceptional problem-solving skills, attention to detail, and an eagerness to grow. If youve got a bias for action and a focus on delivering quality results, we want you on board!
Qualification:
Bachelors degree in Computer Science, Information Technology, or a related field
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