software engineer.

You will join a high-impact, collaborative environment where you can solve complex technical challenges alongside top-tier engineers and AI researchers. In return, you will receive: 

• A competitive compensation package and opportunities for rapid professional growth. 
• The opportunity to design cutting-edge cloud & AI infrastructure powering state-of-the-art systems. 
• A dynamic, forward-thinking tech culture operating at the intersection of AI and scalable cloud systems.

As our DevOps Engineer, you will work closely with AI researchers and devOps engineers to ensure the seamless deployment and stability of complex AI systems. Your key responsibilities will include: 

• Low-Level System Development: Architect, write, and maintain ultra-efficient Rust/C++ code for embedded systems, edge hardware, and sensor-integration platforms.
• AI Model Deployment & Edge Acceleration: Deploy and optimize deep learning models on specialized edge accelerators (GPUs/NPUs) using frameworks like TensorRT, ONNX Runtime, CUDA, or OpenVINO.
• Memory & Resource Optimization: Manage memory allocation, minimize latency, and optimize system power efficiency to ensure deterministic execution in resource-constrained environments.
• Hardware & Sensor Integration: Interface low-level software with various sensors, camera feeds, and hardware protocols (e.g., PCIe, Ethernet, CAN bus, UART, SPI).
• System Diagnostics & Debugging: Perform low-level profiling, memory leak detection, and performance benchmarking using system tools (e.g., Valgrind, GDB, perf).
• Cross-Functional Collaboration: Work closely with AI Researchers and Systems Engineers to translate complex algorithmic pipelines into production-ready edge software.

To excel in this position, you should bring:

• Educational Background: Bachelor’s or Master’s degree in Electrical & Computer Engineering, Computer Science, or a related technical field.
• Core Language Expertise: Deep proficiency in C and C++ (modern C++14/17/20), with strong system programming fundamentals.
• Memory & Hardware Concepts: Hands-on mastery of explicit memory management, custom allocators, concurrency/multithreading, and hardware abstraction.
• Edge AI & Acceleration Tools: Experience with AI optimization tools such as TensorRT, CUDA, ONNX Runtime, TFLite, or OpenVINO.
• Operating Systems: Solid experience with Embedded Linux, POSIX system calls, RTOS (e.g., FreeRTOS, Zephyr), or bare-metal environments.
• Version Control & CI/CD: Familiarity with Git, build systems (CMake, Make), and basic integration pipelines.

Nice-to-Have (Pluses)

• Experience in Defense Tech, Robotics, Automotive (ADAS), Drones, or Computer Vision.
• Familiarity with Python for scripting, rapid prototyping, or model evaluation.
• Knowledge of hardware protocols (SPI, I2C, CAN, UART, Ethernet) and driver development.

4+ years of experience as a Software Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.