Senior Control Systems Engineer

Net Insight is a pioneering technology company within media networks, resource optimization and time synchronization. Their Zyntai solution is used to distribute highly accurate time in critical 5G and network infrastructure — with nanosecond-level precision and without relying on GNSS.

We are now looking for a senior engineer with deep knowledge of automatic control, estimation, signal processing and mathematical modelling — combined with strong software engineering skills in modern C++ and Python.

This is not a general C++ role. It is a role for someone who wants to work close to the core algorithms, understand the underlying control problem, and turn advanced theory into robust production software.

You will join a highly technical team working with a modern product, senior colleagues and complex real-world engineering challenges.

Some of the benefits of working at Net Insight:

• A world leader in media networks, resource optimization and synchronization technology

• Work with advanced control algorithms in a real-world, large-scale product

• A highly technical environment with modern tools and senior colleagues

• Open and flat organization with strong teamwork and knowledge sharing

• Family-friendly company with flexible working hours

• Unusually low turnover and high employee satisfaction

We are looking for a senior engineer who combines strong knowledge within control systems with the ability to build high-quality software.

You probably enjoy understanding the underlying system — not just the codebase. You like mathematical and algorithmic challenges, and you are comfortable discussing control loops, estimation, stability, filtering, optimization and real-world system behavior.

You do not need to have worked with time synchronization before, but you need strong experience from automatic control, applied mathematics, signal processing, robotics, cybernetics, telecom, industrial systems or similar areas.

You need to have:

• Deep knowledge of automatic control, control theory or cybernetics

• Practical experience from designing, analysing, tuning or implementing control algorithms

• Strong mathematical foundation within estimation, filtering, optimization, statistics, signal processing or dynamic systems

• Experience from 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 from Linux-based development

• Ability to turn complex algorithms into robust, maintainable production code

It is an advantage if you have experience from:

• Time synchronization, PTP, NTP, SyncE or GNSS-independent systems

• Distributed or networked systems

• TCP/IP and network communication

• Kubernetes or cloud-native systems

• Real-time or near-real-time systems

• Graph theory, statistics or mathematical optimization

• Telecom, 5G, industrial systems or robotics

This role is a great fit if you want to work where mathematics, control systems and software engineering meet.