Senior Control Systems Engineer

Pinetree AB; Solna kommun; On-site; SEK 550,000 - 750,000; Full time

Benefits offered by this job

Flexible working hours

Family-friendly company

Strong teamwork and knowledge sharing

Job summary

Pinetree AB is looking for a senior engineer specializing in automatic control to enhance their Zyntai solution for 5G network synchronization. Your expertise will be instrumental in developing algorithms and production-quality software focused on accurate time distribution.

The role requires strong C++ and Python skills, with a deep understanding of control theory and signal processing challenges. Join a collaborative team dedicated to tackling complex engineering issues in a supportive environment.

Qualifications

• Deep knowledge of automatic control and control theory.
• Practical experience in designing and implementing control algorithms.
• Strong foundation in mathematics, including estimation and filtering.
• Software engineering skills in modern C++ (preferably C++20/23).
• Good Python skills for modelling and testing.

Responsibilities

• Develop algorithms and software for time synchronization in Zyntai.
• Process measurement data and estimate system behavior.
• Control oscillator in each TimeNode.

Skills

Automatic control

Control theory

Signal processing

Mathematical modelling

C++ programming

Python programming

Tools

Linux

Kubernetes

Job description

OFFER

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 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

• 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.

For more info about the product, visit https://netinsight.net/5g-sync

Role and Teams

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 optimisation.

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, optimisation and real‑world system behaviour.

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, optimisation, 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 optimisation.
• 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.