Systems Design Engineer
3 weeks ago
Noccarc is a leading company in the design and manufacturing of Smart Medical Devices and an integrated Digital Platform for ICUs, transforming ICU operations and management. With over 4,000 installations in 650+ hospitals across 260+ cities, Noccarc has established a strong market presence.
Backed by prominent institutional investors like IAN Fund, SIDBI, and supported by the Government of India and IIT Kanpur, Noccarc continues to drive innovation and excellence in the healthcare industry.
Job Description: Systems EngineerAs a Systems Engineer at Noccarc, you will be at the core of creating high-performance medical devices used in ICUs. Your job will be to understand how the human body works and turn that understanding into functional, life-saving medical devices.
Key Responsibilities:- Understand the product specifications, features, and performance parameters of critical care medical devices, including ICU ventilators, patient monitors, ECG machines, defibrillators, etc.
- Develop an in-depth understanding of human physiology, particularly cardiovascular and respiratory systems, and how they relate to medical device functionality.
- Gain comprehensive knowledge of the working principles of medical devices and their components, including sensors, actuators, and pneumatic systems, and model these systems using fundamental physics.
- Model human physiological systems and medical device interactions to develop core algorithms and control logic for medical devices using signal processing, control systems engineering, and machine learning techniques.
- Ensure the systems meet safety, regulatory, and performance standards for medical devices.
- Work closely with firmware, software, and electronics teams to implement solutions that translate into high-performing, clinically effective devices.
- Participate in testing and validation to refine system behavior and ensure clinical efficacy.
Requirements:
- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Engineering Physics, or a related field.
- 3+ years of experience in systems engineering, system modeling, control systems engineering, or a related field, with knowledge of System Identification methods and State Space-based Modeling techniques like MPC, LQR, etc.
- Strong foundation in physics and mathematics, with the ability to understand and model complex systems using fundamental principles.
- Hands-on experience in programming for control systems, including proficiency in tools like MATLAB, Simulink, Python, or C/C++.
- Expertise in control systems engineering, system modelling, and signal processing. Familiarity with machine learning techniques is a plus.
- Experience working with complex embedded systems involving multiple controllers, processors, sensors, and actuators.
- Strong problem-solving skills and attention to detail, ensuring systems meet safety, regulatory, and performance standards.
- Proficiency in technical writing, able to clearly document designs, processes, and results.
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