We are seeking highly motivated candidates to contribute to the research and development of next-generation human-centric sensor technology. Altec R&D Engineers are involved in a broad spectrum of cutting-edge projects to: advance the understanding of neuromuscular physiology, develop next-generation neural interface technology, build autonomous algorithms for tracking human movement, and develop cross-platform application programming interfaces and data visualization tools; all with the goal of translating future innovations from research to marketplace. The position involves a broad set of analytical and technical skills in the fields of signal processing, algorithm development, performance verification and error analysis. Successful candidates will have the opportunity to gain extensive experience developing cutting-edge research solutions across diverse application areas working closely with a strong team of developers, R&D engineers, scientists, and clinical collaborators.

Preference will be given to those that can demonstrate an aptitude for managing complex projects and have an ability to solve problems independently.

Primary Responsibilities

• Apply signal processing methods to process information from physiological signals acquired during various human movements, including: exercise, gait, daily living activities, and speech
• Analyze statistical features of physiological data
• Design, develop and test pattern recognition and classification algorithms for characterizing the biomechanics and control of human movement
• Design and implement software interfaces for core research applications

Required Qualifications

The Candidate must:

• Be currently enrolled or have completed an undergraduate degree in robotics, biomedical, electrical, or computer engineering, computer science or similar degree program
• Have demonstrated ability to adapt and collaborate in rapid development environment
• Have experience with signal processing concepts and techniques
• Be fluent in a high-level language such as Python, C#
• Be comfortable developing both Windows and Linux GUI and command line applications

Preferred Qualifications

The ideal candidate should:

• Be currently enrolled in or have recently completed graduate level coursework in signal processing, machine learning, pattern recognition or similar
• Have experience designing, testing, and implementing both supervised and unsupervised machine learning algorithms
• Have experience with the .NET environment
• Have some prior industry experience