Senior Control Systems Engineer

Jobtailor; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Zyntai is seeking a skilled engineer to join the team responsible for the core synchronization functionality in TimeNodes. You will contribute to algorithms and software that process measurement data, estimate system behavior, and control the oscillator in each TimeNode.

The role emphasizes modern C++ development with TimeNodes, and Python for modelling, tooling, testing and development. You will work with Kalman filtering, MPC, and state estimation to deliver robust production code.

Qualifications

• Strong foundation in estimation, filtering, optimization.
• Experience designing and tuning control algorithms.
• Proficient in C++20/23 and Python for modelling.
• Experience with Linux-based development.

Responsibilities

• Contribute to core synchronization functionality in Zyntai.
• Develop algorithms and software to process data and control the oscillator in each TimeNode.
• Apply Kalman filtering, Model Predictive Control, PI/PID, state estimation and optimization.
• Implement primarily in modern C++ for TimeNodes.
• Use Python for modelling, tooling, testing and development in Zyntai.

Skills

Control theory

Kalman filtering

Model Predictive Control

PI PID controllers

State estimation

C++20/23

Python

Linux

Optimization

Software engineering

Job description

Overview

You will work in the team responsible for the core synchronization functionality in Zyntai. The team develops the algorithms and software used to process measurement data, estimate system behavior and control the oscillator in each TimeNode. You will work with methods such as Kalman filtering, Model Predictive Control, PI/PID controllers, state estimation, signal processing and mathematical optimization. Most implementation is done in modern C++ in the TimeNodes. Python is used for modelling, analysis, tooling, testing and development in Zyntai.

Responsibilities

• Contribute to the core synchronization functionality in Zyntai.
• Develop algorithms and software to process measurement data, estimate system behavior, and control the oscillator in each TimeNode.
• Apply methods such as Kalman filtering, Model Predictive Control, PI/PID controllers, state estimation, signal processing and mathematical optimization.
• Implement primarily in modern C++ for TimeNodes.
• Use Python for modelling, analysis, tooling, testing and development in Zyntai.

Requirements

• Deep knowledge of automatic control, control theory or cybernetics
• Practical experience designing, analysing, tuning or implementing control algorithms
• Strong mathematical foundation in estimation, filtering, optimization, statistics, signal processing or dynamic systems
• Experience with methods such as Kalman filtering, MPC, PI/PID, observers, state estimation or system identification
• Strong software engineering skills in modern C++, preferably C++20/23
• Good Python skills
• Experience with Linux-based development
• Ability to turn complex algorithms into robust, maintainable production code