Job Description

About us Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We're driven by p About us Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We're driven by progress and thrive on the challenge of relentless improvement. We're growing fast and our ambition is huge - more categories, more locations and more people. About the role The main applications that the team are working on are motor drives, heater drives, batteries and IMU based applications. The algorithms that we design range from classic linear control systems to advanced control systems (Kalman filter, state-feedback, LQR) and machine learning algorithms depending on the application. Requirement specification and algorithm development for control and estimation functions with consideration for safety & compliance, performance and robustness, analysis and ownership. System modelling using first principle differential equations, transfer functions, state-space, multi-physics models (Simscape/Stateflow). Apply classic and advanced control/estimation theory and machine learning theory to develop control and estimation functions. Evaluate algorithm design feasibility through theoretical analysis and testing. Support software implementation and integration. Identify and resolve design issues and perform data analysis and generate comprehensive technical reports. Assist verification and validation team with validation planning, physical testing and certification if necessary. About you Degree (or equivalent) in (Electrical/Electronics/Control Engineering) plus relevant, hands-on experience in requirement specification and analysis. Good knowledge of system modelling through first principle differential equations, transfer functions, state-space. Multi-physics and FEA modelling is a plus. Good knowledge of control and/or estimation theory and experience in control systems development. Experience in machine learning algorithm development. Good knowledge of MATLAB/Simulink, Simscape and Stateflow. Experience in at least one of the following fields: motor control, heater control, battery algorithms, IMU based applications. Knowledge of the main aspects of electronics: power electronics, thermal management, battery management, analogue and digital electronics and sensing technology. Good knowledge of C/C++ and/or Python. Lab testing and hands-on experience. Capable of delivering high quality results within tight time deadlines with strong analytical skills. Highly motivated with good communication skills and able to work within a team. Formal Six Sigma or Lean Six Sigma qualification and proficient use of data analysis tools such as Minitab. Working knowledge of the fundamentals of electromagnetic machine operation particularly single and multi-phase permanent magnet motors. An appreciation of motor control techniques for low and high speed, single-phase and multi-phase permanent magnet motors. Working knowledge of schematic capture, PCB layout and associated software. Benefits Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you'll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it's an exciting team environment geared to fuelling and realising ambition.