Senior Control Systems Engineer

Pinetree; Solna kommun; On-site; SEK 700,000 - 900,000; Full time

Benefits offered by this job

Family-friendly company

Flexible working hours

Strong teamwork and knowledge sharing

Job summary

Net Insight in Solna is seeking a Senior Engineer with knowledge in automatic control, estimation, and signal processing, combined with strong software engineering skills in modern C++ and Python. You will work closely with core algorithms to tackle complex engineering challenges in a highly technical team.

The role requires familiarity with advanced algorithms and a passion for transforming theory into practical software solutions. Join a family-friendly organization known for low turnover and high employee satisfaction.

Qualifications

• Deep knowledge of automatic control, control theory or cybernetics.
• Practical experience in designing, analysing, tuning or implementing control algorithms.
• Strong mathematical foundation in estimation, filtering, optimization, statistics.

Responsibilities

• Develop algorithms for processing measurement data and controlling the oscillator.
• Work with Kalman filtering, Model Predictive Control, and state estimation.
• Create robust production software in C++ utilizing mathematical reasoning.

Skills

Automatic control

Signal processing

Mathematical modelling

Software engineering in modern C++

Python

Tools

Linux

Kubernetes

Job description

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.

Benefits

• 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

Product Area

Zyntai provides critical infrastructure, such as 5G base stations, with extremely accurate time synchronization. A Zyntai network consists of hundreds or thousands of TimeNodes that continuously exchange time information and measurements.

The system uses this data to estimate network and oscillator behavior and to control the local clock in each node. This requires advanced algorithms within control theory, estimation, filtering, signal processing and mathematical optimization.

The core challenge is to distribute time over complex networks with extremely high accuracy—without depending on GNSS.

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 Director, Net Insight’s Kubernetes-based orchestration system for managing TimeNodes.

You need to be comfortable moving between theory and implementation: from mathematical reasoning and control system design to production-quality software in a distributed system.

Your Profile

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.

Qualifications

• 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
• Experience from Linux-based development
• Ability to turn complex algorithms into robust, maintainable production code

Preferred Experience

• 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

About Net Insight

Net Insight is a global leader in media networks, resource optimization, and streaming solutions. With more than 25 years of experience, Net Insight is a trusted and important partner and a leading force in the media tech industry in creating a better media experience. More than 500 world‑class customers run mission‑critical media services using Net Insight’s solutions in more than 70 countries worldwide.

Net Insight is listed on Nasdaq Stockholm.