Systems Engineer V

About the role

Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customers have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.

Responsibilities

• Setting up and maintaining data collection SW and HW including OS/firmware updates and connection to sensor components.
• Basic SW (mostly C++) debugging, understand different kinds of error analysis and communicate with other Research Engineers and Scientists.
• Consumer devices HW bring-up and functionalities verification.
• Design and execute experiments to validate product quality and investigate HW/SW issues.
• Design and commission automation procedures for robotics experiments.
• Perform devices calibration with proprietary equipment.
• Commission and operate complex measurement and test equipment.
• Documentation of various processes and techniques with help from the core team.

Qualifications

The following qualifications are required:

• BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical Sciences, Electrical Engineering, Computer Science or a related experience.
• Track record of software development following software engineering best practices (C++ or Python).
• Hardware Engineering experience or educational background (one of Mechanical, Mechatronics, Electrical, Systems, Optical).
• Experience in system level troubleshooting: mechanical, electrical, optical, firmware, OS, software failures.

The following qualifications are nice to have:

• Experience working on applied research and/or product development involving joint hardware/software design, development, and integration.
• Experience in designing and operating robotic systems.
• Knowledge of optics including imaging, illumination, radiometry and photometry, physical and geometric optics, statistics, and polarization.
• Experience in statistical methods for data analytics.
• Experience as manufacturing engineer.
• Conversational in Chinese (Mandarin).