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<div><h2 class="jobSectionHeader">About SGL</h2>

At SGL, we do not just grow grass; we help grounds teams create the perfect pitch for the world&rsquo;s biggest sports stadiums. Since developing our revolutionary turf optimisation system in 2002, we have become the market leader in sports turf technology, supporting grounds teams in over 600 stadiums worldwide. Our technology helps the teams responsible for the quality of the playing surface grow and maintain world-class turf. We do this through innovations such as high-tech grow lighting systems, smart data monitoring tools, and sustainable grass disease management solutions, such as our autonomous UVC robot. With an international team of more than 70 passionate specialists, we continue to push the boundaries of professional sports turf innovation.
<h2 class="jobSectionHeader">
SGL as an employer</h2>

Working at SGL means playing in the Champions League. Our team thrives in an informal culture where collaboration, innovation, passion and personal development go hand in hand. We encourage learning, sharing ideas, and taking ownership of your work, so every team member can make an impact. Great work comes from great teams &ndash; from Friday drinks and table tennis to team outings that bring colleagues from across the globe together, we make sure there is plenty of fun and connection. At SGL, teams bond in ways that matter to them!
<h2 class="jobSectionHeader">
The position</h2>

We are seeking an enthusiastic Software Manager to lead, support and develop our engineering teams. This is a hybrid management role that combines people leadership with day-to-day team guidance, while remaining closely connected to the engineering environment.

As Software Manager, you will be responsible for setting direction for the team and creating the conditions for success. You will support engineers in their professional development, manage performance and review processes, and guide the team in adopting engineering best practices. While you won&rsquo;t be responsible for defining strategy, you will play a key role in ensuring the team is aligned, focused and moving in the right direction.

In short, you are responsible for driving the team forward, helping engineers perform at their best and ensuring the team achieves its goals together.
<h3 class="jobSectionHeader">
Key responsibilities</h3>
<ul><li>Provide day-to-day leadership and direction to the engineering team, ensuring focus, accountability and successful delivery.</li>
<li>Inspire, motivate and develop engineers, fostering a positive and growth-oriented team culture.</li>
<li>Manage performance, review cycles and ongoing development conversations for team members.</li>
<li>Guide engineers on technical best practices while operating around the code rather than contributing as an individual developer.</li>
<li>Lead team meetings, remove obstacles and drive continuous improvement across team processes and ways of working.</li>
<li>Partner closely with Product Owners to align priorities, gather feedback and ensure effective execution.</li>
<li>Foster a solution-oriented mindset, helping the team identify opportunities and overcome challenges.</li>
<li>Translate vision and objectives into clear team priorities and drive delivery against agreed goals.</li>
</ul><h2 class="jobSectionHeader">Your profile</h2>

We are looking for a team player who brings real value to our team team. Our work culture is open, informal, and friendly, even when working under tight deadlines. We need someone who is proactive, adaptable, and has a practical and pragmatic mindset, with a passion for technology and/or sports.
<h3 class="jobSectionHeader">
Your qualifications</h3>
<ul><li>10+ years of experience leading and developing software engineering teams.</li>
<li>Proven track record of driving team performance, accountability and successful delivery in a hardware/software development environment.</li>
<li>Broad technical background across the full software stack, including embedded software, backend systems, cloud technologies and modern application development.</li>
<li>Strong understanding of software engineering best practices and the ability to guide teams without being hands-on in the code.</li>
<li>Experience collaborating with Product Owners and other stakeholders to align priorities and achieve business objectives.</li>
<li>Excellent communication and leadership skills, with the ability to motivate teams and foster a positive, solution-oriented culture.</li>
<li>Experience with Flutter and UI/UX development is considered a strong advantage.</li>
</ul><h2 class="jobSectionHeader">What we offer</h2>

At SGL, you&rsquo;ll join an ambitious team in a dynamic international work environment, developing innovative and unique products used worldwide. This is a role with high responsibility, room for personal growth, and a great working atmosphere.
<h3 class="jobSectionHeader">
Our benefits</h3>
<ul><li>A challenging international working environment.</li>
<li>A versatile role in a young and ambitious team.</li>
<li>Plenty of responsibility, initiative.</li>
<li>A competitive salary.</li>
<li>Bonus structure; the amount is determined based on your personal goals. A standard score of 7 corresponds to a 9% bonus, provided that the company objectives are met.</li>
<li>25 vacation days per year.</li>
<li>Pension scheme.</li>
<li>Travel allowance. (23ct per km)</li>
<li>Telephone allowance.</li>
<li>Home office allowance.</li>
<li>Work-related training courses to develop skills.</li>
<li>Healthy work-life balance. Corporate fitness program.</li>
<li>Fun and team-oriented environment. Hackathons, padel matches, dinners, visiting football games.</li>
</ul>
We strongly value personal development, and you will have the opportunity to take job-related training to improve your skills and help elevate our team.
<h2 class="jobSectionHeader">
Interested?</h2>

Would you like more information? Please contact Diederick at 06 103 050 94

Interested? Send us your CV and motivation letter (optional) at hiring@sglsystem.com. We will get back to you as soon as possible.

Acquisition in response to this job posting is not appreciated.</div>

Software Manager

<div>
 
 
 About SGL
 
 
 
 At SGL, we do not just grow grass; we help grounds teams create the perfect pitch for the world&rsquo;s biggest sports stadiums. Since developing our revolutionary turf optimisation system in 2002, we have become the market leader in sports turf technology, supporting grounds teams in over 600 stadiums worldwide. Our technology helps the teams responsible for the quality of the playing surface grow and maintain world-class turf. We do this through innovations such as high-tech grow lighting systems, smart data monitoring tools, and sustainable grass disease management solutions, such as our autonomous UVC robot. With an international team of more than 70 passionate specialists, we continue to push the boundaries of professional sports turf innovation.
 
 
 
 
 
 
 TurfBase
 
 
 
 TurfBase is SGL&rsquo;s next-generation software platform for turf intelligence. TurfBase brings together drone data, geospatial analytics, IoT sensors, robotics, and cloud-based software into a unified system that helps teams monitor, analyze, and optimize turf performance at scale. From our office in Cranberry Township / Wexford, Pennsylvania area we are working on our platform with a very ambitious team.
 
 
 
 
 
 
 SGL as an employer
 
 
 
 Working at SGL means playing in the big league. Our team thrives in an informal culture where collaboration, innovation, passion and personal development go hand in hand. We encourage learning, sharing ideas, and taking ownership of your work, so every team member can make an impact. Great work comes from great teams - from Friday drinks and table tennis to team outings that bring colleagues from across the globe together, we make sure there is plenty of fun and connection. At SGL, teams bond in ways that matter to them!
 
 
 
 
 
 
 The position
 
 
 
 We are seeking an AI/ML Engineer to help build the next generation of TurfBase. This role is well suited for a mid-level to senior engineer who enjoys solving real-world machine learning problems across computer vision, geospatial analytics, data pipelines, and production SaaS systems.
 
 
 You will help activate our growing data lake of drone imagery, multispectral data, geospatial layers, turf performance history, sensor data, and agronomic observations. Your work will span research, experimentation, model development, productionization, and continuous improvement of customer-facing AI features.
 
 
 This is a high-ownership role with direct impact on the intelligence layer of the platform. You will work closely with software engineering, product, agronomy, and leadership to improve how TurfBase detects turf stress, prioritizes issues, tracks change over time, supports customer decision-making, and accelerates future AI-powered capabilities.
 
 
 We are building a modern, high-velocity software team in Pittsburgh and value engineers who thoughtfully use AI-assisted tools to accelerate research, prototyping, implementation, testing, debugging, and delivery. The position requires on-site collaboration five days per week.
 
 
 
 
 
 
 Key responsibilities
 
 
 <ul>
 <li>
 Develop, train, evaluate, and maintain machine learning models for imagery, geospatial, time-series, and sensor-based workflows.
 </li>
 <li>
 Build computer vision models for turf intelligence use cases such as image classification, semantic segmentation, change detection, issue prioritization, and stress detection.
 </li>
 <li>
 Help activate our data lake by identifying useful training signals, feature sets, labeling strategies, and model opportunities across historical and incoming datasets.
 </li>
 <li>
 Research and prototype classical ML, deep learning, self-supervised learning, unsupervised learning, weak supervision, and active learning approaches.
 </li>
 <li>
 Design practical experiments, evaluate model performance, and translate research findings into production-ready product improvements.
 </li>
 <li>
 Productionize and maintain models in a SaaS environment, including deployment support, model monitoring, retraining workflows, versioning, and reproducibility.
 </li>
 <li>
 Build and improve data pipelines for imagery, geospatial, tabular, time-series, and sensor data.
 </li>
 <li>
 Collaborate with software engineering, product, agronomy, and leadership to integrate ML outputs into customer-facing TurfBase workflows.
 </li>
 <li>
 Explore practical uses of LLMs, agents, context engineering, and AI-assisted development tools to improve internal productivity and future product capabilities.
 </li>
 </ul>
 
 
 
 
 
 Skills set
 
 
 
 We are looking for a pragmatic, product-minded AI/ML Engineer who enjoys turning messy real-world data into useful production systems. You should be comfortable moving between research, experimentation, data engineering, model development, and product implementation.
 
 
 You do not need to be a turf expert on day one, but you should be excited by the opportunity to apply AI and machine learning to real-world physical systems involving drone imagery, remote sensing, geospatial analytics, and agronomic decision support.
 
 <ul>
 <li>
 5+ years of professional experience in machine learning, data science, computer vision, software engineering, or a related technical field.
 </li>
 <li>
 Strong Python experience.
 </li>
 <li>
 Strong foundation in computer science, machine learning fundamentals, model evaluation, validation techniques, and ML best practices.
 </li>
 <li>
 Experience building, training, evaluating, and shipping machine learning models.
 </li>
 <li>
 Experience with computer vision, image models, or deep learning for visual data.
 </li>
 <li>
 Experience working with data pipelines, feature engineering, and large datasets.
 </li>
 <li>
 Familiarity with MLOps concepts such as experiment tracking, model versioning, deployment, monitoring, retraining, and reproducibility.
 </li>
 <li>
 Ability to work independently, ask good questions, and take ownership of ambiguous technical problems.
 </li>
 <li>
 Comfort working in a startup or high-velocity product environment.
 </li>
 </ul>
 
 
 
 
 
 Preferred skills
 
 
 <ul>
 <li>
 Experience with geospatial systems, remote sensing, drone imagery, multispectral imagery, raster/vector data, photogrammetry, or GIS workflows.
 </li>
 <li>
 Experience with computer vision workflows such as image classification, semantic segmentation, object detection, and change detection, especially for aerial, drone, satellite, multispectral, or other geospatial imagery.
 </li>
 <li>
 Experience with vegetation indices, spatial statistics, time-series analysis, environmental datasets, or agricultural datasets.
 </li>
 <li>
 Experience with self-supervised learning, unsupervised learning, weak supervision, active learning, or human-in-the-loop model improvement workflows.
 </li>
 <li>
 Experience with LLMs, agents, context engineering, MCP, retrieval-augmented generation, or AI-assisted tooling for prototyping, research, development, testing, documentation, or delivery.
 </li>
 <li>
 Experience with cloud infrastructure and AWS-based data or ML workflows.
 </li>
 <li>
 Experience with PyTorch, TorchGeo, Raster Vision, scikit-learn, XGBoost, LightGBM, GeoPandas, rasterio, GDAL, PostGIS, or similar ML/geospatial tools.
 </li>
 <li>
 Experience building ML features for production SaaS products.
 </li>
 <li>
 Experience in sports turf, agriculture, environmental monitoring, construction, oil and gas, or other remote sensing use cases.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 
 At SGL, you'll join an ambitious team in a dynamic international work environment, developing innovative and unique products used worldwide. This is a role with high responsibility, room for personal growth, and a great working atmosphere.
 
 <ul>
 <li>
 A challenging international working environment.
 </li>
 <li>
 A versatile role in a young and ambitious team.
 </li>
 <li>
 Plenty of responsibility, initiative.
 </li>
 <li>
 Medical, dental, and vision insurance (70% employer contribution / 30% employee contribution).
 </li>
 <li>
 Travel expense reimbursement.
 </li>
 <li>
 Retirement (according company policy).
 </li>
 <li>
 All necessary equipment provided (phone/laptop).
 </li>
 <li>
 Work-related training courses to further develop professional skills.
 </li>
 <li>
 Fun and team-oriented environment.
 </li>
 </ul>
 
 
 
 
 Interested or would you like more information? Leave us a message! By filling in the form below or emailing us at hiring@sglsystem.com. We will get back to you as soon as possible.
 
 
 
 
 
 
 PLEASE ONLY APPLY: IF YOUR LIVE WHITIN A COMMUTING DISTANCE OF MAXIMUM 1 HOUR FROM PITTSBURGH AND IF YOU
 
 
 
 DO NOT
 
 
 
 NEED A SPONSORSHIP (H1B). THANKS IN ADVANCE!
 
 
</div>

AI Machine Learning Engineer

Join SGL and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

SGL

About Company

Software Manager

AI Machine Learning Engineer