senior autonomous systems engineer

Intellectica is recruiting a highly skilled Senior Autonomous Systems Engineer for a newly established AI & Machine Learning spinoff within a leading aerospace, defense, and high-technology group, based in Psixiko, Atttiki, operating under a hybrid working model. Reporting directly to the CTO, the ideal candidate will actively contribute to the design and development of next-generation autonomous and intelligent systems. Working across the full autonomous systems stack, from perception and planning to system orchestration and deployment, the candidate will shape scalable, production-grade AI-driven platforms.

Key activities and responsibilities of this role include:

• Design and evolve the software architecture of advanced autonomous systems and high-performance AI platforms, in collaboration with cross-functional teams (ML, Data Science, Vision AI)

• Own and drive the end-to-end implementation of complex features within autonomous frameworks, ensuring scalability and performance

• Develop robust, high-performance software components primarily in C++ and Python, adhering to engineering best practices

• Design and implement core modules across perception, sensor fusion, localization, planning, control, and decision-making systems

• Integrate and optimize autonomous frameworks and middleware stacks for real-world deployment, including close collaboration with AI/ML engineers for production-grade systems

• Contribute to simulation environments, validation pipelines, and hardware/software integration, ensuring system-level consistency and performance

• Drive code quality and system reliability through peer reviews, testing strategies (unit, integration, simulation, stress), and identification of architectural improvements and performance bottlenecks

• Support CI/CD pipelines and deployment workflows, while ensuring quality, safety, cybersecurity, and reliability across the full product lifecycle, and contributing to mentoring and engineering excellence initiatives

• Represent the organization in technical discussions, meetups, conferences, and customer-facing innovation initiatives

Professional experience & qualifications of a successful candidate:

• Bachelor’s degree in Computer Science, Electrical & Computer Engineering, Robotics, Mechanical Engineering, or a related technical field

• 5+ years of professional experience in Autonomous Systems, Robotics, or Software Engineering, with strong expertise in C++ and Python

• Proven experience working with autonomous frameworks, robotics middleware, and real-time distributed systems

• Solid understanding of key autonomy domains, including perception, localization, sensor fusion, planning, and control

• Strong software engineering foundation, including multithreading, system design, APIs, performance optimization, and development in Linux environments

• Hands-on experience with hardware–software integration, including working with sensor systems (LiDAR, cameras, GNSS, IMUs, radar)

• Experience with ROS/ROS2 ecosystems, including data formats, as well as simulation and validation environments for autonomous systems

• Familiarity with CI/CD pipelines, Docker, containerized environments, and modern development workflows

• Exposure to cloud-native architectures, edge computing, GPU acceleration, or high-performance computing

• Knowledge of functional safety, cybersecurity, and experience integrating AI/ML models into production-grade autonomous systems

• Proficient in Greek and English

Core competencies of a successful candidate:

• Strong analytical and problem-solving skills with the ability to decompose complex technical challenges

• Passion for building reliable, scalable, and intelligent autonomous systems

• Ability to work effectively in interdisciplinary teams with highly skilled engineers and scientists

• Strong communication skills and the ability to explain complex technical concepts in a structured manner

• You embrace a feedback culture and actively contribute to continuous improvement

• High sense of ownership, accountability, and engineering craftsmanship