Machine Learning Engineer
Senior Software Engineer C/C++ or Rust
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Are you a software engineer passionate about bridging the gap between cutting-edge AI models and low-level execution? We are looking for a Software Engineer to join an innovative technology leader developing next-generation Frontier AI and multimodal intelligence solutions.
In this role, you will build, optimize, and deploy high-performance software systems designed to process real-time sensor streams under tight resource, power, and latency constraints. If you thrive on C/C++ optimization, edge hardware acceleration, and system-level execution for defense, robotics, or safety applications, this is your next big move.
Responsibilities
As a Software Engineer, you will collaborate closely with top-tier AI researchers and systems engineers to translate complex algorithmic pipelines into production-ready edge software.
Your core responsibilities will include:
- Low-Level System Development: Architect, write, and maintain ultra-efficient C/C++ code for embedded systems, edge hardware, and sensor-integration platforms.
- AI Model Deployment: Deploy and optimize deep learning models on specialized edge accelerators (GPUs/NPUs) using frameworks like TensorRT, ONNX Runtime, CUDA, or OpenVINO.
- Resource Optimization: Manage explicit memory allocation, minimize latency, and optimize system power efficiency for deterministic execution.
- Hardware & Sensor Integration: Interface low-level software with camera feeds, sensor data, and hardware protocols (e.g., PCIe, Ethernet, CAN bus, UART, SPI).
- Profiling & Debugging: Perform low-level profiling, memory leak detection, and performance benchmarking using tools like Valgrind, GDB, and perf.
Qualifications
To excel in this position, you should bring a strong foundation in system-level programming along with hands-on experience in edge AI acceleration.
We are looking for:
- Core Expertise: Deep proficiency in C and C++ or other low level languages (Rust)
- Hardware & Memory Management: Mastery of explicit memory management, custom allocators, concurrency/multithreading, and hardware abstraction.
- Edge AI Acceleration: Hands-on experience with AI optimization frameworks such as TensorRT, CUDA, ONNX Runtime, TFLite, or OpenVINO.
- OS Fundamentals: Solid experience with Embedded Linux, POSIX system calls, RTOS (e.g., FreeRTOS, Zephyr), or bare-metal environments.
- Education: Bachelor’s or Master’s degree in Electrical & Computer Engineering, Computer Science, or a related field.
Experience
- 5+ years of experience in low level programming
Benefits
You will join a collaborative and high-impact environment where your code directly powers physical, real-world technologies.
In return, you will receive:
- A competitive compensation package and continuous opportunities for professional development.
- The chance to work on state-of-the-art Frontier AI systems with real-world physical impact.
- An innovative, forward-thinking tech culture alongside top-tier AI researchers and systems engineers.
Information
Have some questions first? Contact Maria Hadjichristodoulou at 6952381381 from Monday to Friday. Otherwise, feel free to contact me at mhadjichristodoulou@randstad.gr
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.
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