Field Operations Engineer
At Baykar, a leading force in the National Technology Initiative, we develop domestic and national high-tech Unmanned Aerial Vehicle (UAV) systems and create a global impact with proven platforms. With our end-to-end engineering approach from R&D to production, we continue to undertake projects that push boundaries.
Our Department
Baykar Mapping department, we develop a world-class imaging system capable of scanning over 4,000 square kilometers per day. Through this system, we operate across multiple industries. Our imaging technology, which is a world-first, enables the mapping of very large areas within just a few hours.
Purpose of the Position:
The purpose of this position is to effectively carry out and manage the field operations of world-class land imaging and mapping systems; and to successfully provide installation, training, and sustainable technical support processes for domestic and international customers. At the same time, it aims to ensure the seamless integration of the technology by working closely with different field teams and to carry out testing and validation activities to enhance product quality and reliability. This role includes establishing strong communication with potential and existing customers, conducting factory and on-site presentations, live demonstrations, and product showcases; ensuring that customers are equipped with the necessary knowledge and competencies to use the products in the most efficient way; and contributing to product development processes by collecting valuable feedback.
What Awaits You?
- Overseeing and managing the deployment of imaging/mapping systems to both domestic and international customers,
- Conducting on-site and in factory training sessions to ensure customers are fully equipped to use the technology,
- Providing hands-on support during product installations, configurations, and troubleshooting,
- Demonstrating product capabilities through factory and on-site presentations and exhibitions,
- Collaborating with engineering and product teams to test and refine the system based on customer and mission feedback,
- Ensuring smooth communication between internal teams and customers,
- Assisting with the development of documentation and training materials for customer-facing teams and end users.
General Qualifications:
- Bachelor’s degree in Mechanical Engineering, Software Engineering or a related technical discipline,
- Proven experience in field operations, deployment and aviation, preferably in imaging, geospatial or technology-driven industries,
- Hands-on experience with hardware installation, system configuration and issue resolution in a field environment,
- Strong understanding of geospatial data, land imaging technologies and sensor systems commonly used in mapping and surveying,
- Solid experience in customer-facing roles, including conducting product demonstrations, training sessions and providing on-site technical support,
- Excellent problem-solving skills with the ability to quickly address issues and implement solutions in real-world conditions,
- Must be able to travel domestically and internationally, often on short notice, to support deployments, training and issue resolution,
- Experience with documentation and reporting-creating clear, actionable reports, training materials and feedback documentation for internal teams and customers,
- Proficiency in English (reading, writing, and technical documentation),
- Ability to work on-site in Istanbul (Hadımköy).
Additional Qualifications Considered a Plus:
- Proficiency in Ubuntu or other Linux-based operating systems,
- Experience with Python, especially for scripting and automation in field deployments,
- Familiarity with C++ or other programming languages commonly used in geospatial or imaging systems,
- Experience with geospatial software and tools such as QGIS, ArcGIS, or similar platforms,
- Background in hardware integration or experience working with imaging sensors, UAVs, or similar geospatial data collection technologies,
- Measurable engineering outputs developed in real-world projects, including academic studies, open-source contributions, or previous industry roles (e.g., software tools, hardware integrations),
- Knowledge or familiarity with cloud platforms (e.g., AWS, Azure) for managing large datasets, remote monitoring or deployments.