Embedded Control Systems Engineer – FPGA/Model-Based

SoCode Limited; Impington; On-site; GBP 64,000 - 86,000; Full time

Benefits offered by this job

Bonus scheme

Pension

Gym membership

Job summary

SoCode Limited in Cambridgeshire is seeking a qualified engineer to design and develop sensor control algorithms to meet performance and system requirements. You will model, simulate, and experimentally validate control systems while collaborating with hardware teams on MCU, FPGA, ADC/DAC considerations.

The role emphasizes embedded software implementation, firmware work, and applying MATLAB/Simulink and C/C++ methods to real-world high-performance sensors.

Qualifications

• Strong grounding in control theory, signal processing, and system identification.
• Experience designing and testing high-performance control systems.
• Knowledge of PID, PLL, LQR, and Kalman filters.
• Proficient in C/C++ with Git version control.
• Proficiency in MATLAB/Simulink, including model-based design and code generation.
• Strong numerical optimization and estimation theory background.

Responsibilities

• Design and develop sensor control algorithms to meet performance and system requirements.
• Model, simulate, and experimentally validate control systems.
• Define requirements for analogue and digital electronics, including MCU, FPGA, ASIC, and DAC/ADC.
• Support implementation of control algorithms in embedded software and firmware.

Skills

Control theory

Signal processing

System identification

PID control

PLL

LQR

Kalman filtering

C/C++

Numerical optimization

Estimation theory

Tools

Git

MATLAB/Simulink

Code generation

Simulink

Job description

SoCode Limited in Cambridgeshire is seeking a qualified engineer to design and develop sensor control algorithms to meet performance and system requirements. You will model, simulate, and experimentally validate control systems while collaborating with hardware teams on MCU, FPGA, ADC/DAC considerations.

The role emphasizes embedded software implementation, firmware work, and applying MATLAB/Simulink and C/C++ methods to real-world high-performance sensors.