Systems Engineer

3 weeks ago


Pune, Maharashtra, India Noccarc Full time
About Noccarc

Noccarc is a leading company in the design and manufacturing of Smart Medical Devices and an integrated Digital Platform for ICUs. With over 4,000 installations in 650+ hospitals across 260+ cities, Noccarc has established a strong market presence.

Our company is backed by prominent institutional investors like IAN Fund, SIDBI, and supported by the Government of India and IIT Kanpur. We continue to drive innovation and excellence in the healthcare industry.

Job Description

As a Systems Engineer at Noccarc, you will be responsible for creating high-performance medical devices used in ICUs. You will work with multi-disciplinary teams to develop the "brains" of these devices using system modeling, control system design, signal processing, and machine learning techniques.

Your work will directly impact patient care by ensuring these devices are safe, reliable, and effective in real-world clinical settings.

Key Responsibilities
  • Understand product specifications, features, and performance parameters of critical care medical devices.
  • 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.
  • Model human physiological systems and medical device interactions to develop core algorithms and control logic for medical devices.
  • Ensure 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 modeling, 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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