

Research Engineer
Embla Medical (Össur) is seeking an ambitious person to join the Neuromuscular Technology team within Research & Development to work on research projects targeting upper-limb prosthetic applications.
The person in question should be proficient in C/C++ programming for embedded systems and have a strong understanding of real-time control systems, signal processing, and motor control algorithms.
The person will be part of a strong team of experts working towards common goals.
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Support neuromuscular research projects targeting upper-limb prosthetic applications.
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Design, implement and qualify real-time control algorithms across the software/firmware stack, e.g. end-application, motion controls, actuator controls, etc.
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Develop test cases and participate in tests with device users.
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Identify, specify, and integrate hardware components such as sensors, actuators or other wearable device componentry in platforms or prototypes to evaluate their performance and explore new features.
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Interact with upper-limb prosthetic product development team through activities such as technology transfer, collaborative projects and knowledge dissemination.
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Develop, test, troubleshoot and qualify embedded firmware to support technology exploration and maturation.
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Monitor and evaluate technology progression in and out of field and its applicability to current and future upper-limb prosthetic applications.
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Maintain thorough project documentation of the design, development, and testing processes.
Required Qualifications:
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Master's degree in Embedded Systems Engineering, Electrical Engineering, Computer Engineering, or a related field.
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Proficiency in C/C++ programming for embedded systems.
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Strong understanding of real-time control systems, signal processing, and motor control algorithms.
Preferred Qualifications:
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3+ years of experience in upper-limb prosthetic research and/or development.
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Hands-on experience in hardware-in-the-loop development and tools (debugging tools, oscilloscopes, and logic analyzers).
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Demonstrated experience and know-how with biosignals acquisition, processing and integration in end-use applications.
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Familiarity with communication protocols and technology (e.g. UART, SPI, I2C, CAN, Bluetooth, BLE, NFC, etc.).
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Experience with microcontrollers (e.g. Tiva C Series).
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Knowledge of machine learning or AI integration in embedded systems.
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Experience in medical device development.
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Familiarity with compliance and regulatory standards for medical devices.
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Excellent problem-solving skills.
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Demonstrated ability to work independently and in a team.
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