Noah Medical

Degree in Electrical Engineering, Mechanical Engineering, Computer Science, Biomedical Engineering or Robotics: minimum BS + 5 years, MS + 3 years or PhD. Hands on experience with sensor signal processing such as Kalman Filter and Extended Kalman Filter. Solid fundamental training and hands-on experience in estimation, signal processing, and sensor fusion. Knowledge and experience in vision based navigation (SLAM, 3d computer vision and deep learning) strongly preferred. Learning & Development Opportunities: On-demand online training and book reimbursement

engineer

We are a dynamic team dedicated to revolutionizing medical procedures with the state-of-the-art technologies to be accurate, efficient, easy and consistent. The team consists of product management, clinical engineering and engineers from different disciplines closely working with the customers to define and create the future of medical imaging and navigation. We embrace transparent communication, first principle thinking, data-driven decision and are committed to remove any barrier for innovation. We welcome candidates who are passionate about new technologies for medical applications, possess technical excellence in their respective fields, energetic in learning new skills and are ready to move very fast to make a difference in health care. We welcome candidates at all levels and will adjust the job level according to candidate qualifications. A Day In The Life Of Our Senior Navigation Engineer: <ul><li>Work with cross functional team to identify concepts and solutions </li><li>Identify, characterize and select sensors used in navigation of flexible medical device inside human body </li><li>Research, prototype and iterate sensor processing, navigation and sensor fusion algorithms </li><li>Perform thorough technical evaluation and assist user evaluation </li><li>Contribute high-quality real-time software implementations that will be incorporated into a medical device </li><li>Draft technical/regulatory documentation and patent disclosures / applications </li><li>Be a dynamic team member and support other relevant R&D effort </li> </ul>About You: <ul><li>Degree in Electrical Engineering, Mechanical Engineering, Computer Science, Biomedical Engineering or Robotics: minimum BS + 5 years, MS + 3 years or PhD </li><li>Strong communication and interpersonal skills </li><li>Solid scientific training and analytical skills: mathematics, critical thinking, experimentation, data analysis, hypothesis testing </li><li>Knowledge and hands-on experience working with IMU sensors and Inertial Navigation System </li><li>Hands on experience with sensor signal processing such as Kalman Filter and Extended Kalman Filter </li><li>Proficiency in C++, Python, C# (nice-to-have) and knowledge of OOP </li><li>Solid fundamental training and hands-on experience in estimation, signal processing, and sensor fusion </li><li>Knowledge and experience in vision based navigation (SLAM, 3d computer vision and deep learning) strongly preferred </li><li>Experience in a medical application is preferred </li> </ul>Workplace Type: Hybrid Benefits & Perks (For Full Time Employees): <ul><li>Competitive Salary </li><li>Comprehensive health insurance including Medical, Dental and Vision + HSA and FSA options </li><li>Equity & Bonus Program </li><li>Life Insurance (company paid & supplemental) and Disability insurance </li><li>Mental health support through medical insurance programs </li><li>Legal and Pet Insurance </li><li>12+ paid holidays, 15-20 days of PTO + use-what-you-need sick days </li><li>Paid parental leave </li><li>In-office snacks and beverages </li><li>In-office lunch stipend </li><li>Learning & Development Opportunities: On-demand online training and book reimbursement </li><li>Team building and company organized social and celebration events </li> </ul> #J-18808-Ljbffr

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