Embedded Engineer

Hi! We are looking for a Senior/Lead Embedded Software Engineer (Ukraine-based) to join Ralabs and work on technically challenging projects involving embedded systems, edge computing, and AI-powered solutions.

The role combines hands-on software development, hardware integration, and performance optimization. You will work with resource-constrained devices, adapt existing software to new hardware platforms, and help develop reliable, production-ready solutions.

Beyond individual projects, you will contribute to our broader engineering capabilities in embedded systems and edge AI.

📍 Location: Ukraine-based
🕒 Engagement: Part-time (approximately 10–20 hours per week during the first 1–3 months), with the potential to transition to full-time.

Requirements

Experience

• 6+ years of commercial software engineering experience.
• Proven experience developing software for embedded Linux environments.
• Hands-on experience with ARM-based computing platforms.
• Proven experience integrating software with hardware components and external devices.
• Proven experience optimizing software for performance, memory, and hardware constraints.
• Ability to independently investigate technical challenges and deliver working solutions.
• English proficiency: Upper-Intermediate.
  
  

Technical Expertise

• Strong proficiency in C/C++ and/or Python.
• Solid knowledge of Linux internals, system-level programming, and debugging.
• Experience with embedded platforms such as NVIDIA Jetson, Raspberry Pi, or similar.
• Experience with YOLO-NAS, YOLOX, and DarkYOLO in ONNX.
• Understanding of hardware interfaces and communication protocols (UART, GPIO, SPI, I2C, etc.).
• Experience with computer vision, image processing, or real-time data processing.
• Understanding of ML model deployment and optimization on edge devices.
• Familiarity with software security, encryption, and secure deployment practices.
• Strong understanding of performance optimization, testing, and troubleshooting.
  
  

Leadership & Collaboration

• Ability to take technical ownership of assigned tasks and solutions.
• Strong analytical and problem-solving skills.
• Ability to evaluate technical approaches and make practical engineering decisions.
• Comfortable working with incomplete requirements and exploring alternative solutions.
• Ability to collaborate with cross-functional engineering teams and technical stakeholders.
  
  

Responsibilities

Embedded Software Development

• Design, develop, and maintain software for embedded computing platforms.
• Adapt existing software solutions to different hardware architectures.
• Integrate software with hardware components, peripherals, and external systems.
• Troubleshoot system-level issues and improve overall reliability.
• Ensure software operates efficiently within hardware limitations.

Edge AI & Computer Vision

• Support the integration and deployment of AI/ML models on edge devices.
• Optimize inference performance, resource usage, and processing efficiency.
• Work with computer vision and real-time data processing pipelines.
• Evaluate technical approaches for improving system performance.

Engineering Excellence

• Write clean, maintainable, and well-tested code.
• Establish reliable development, testing, and deployment practices.
• Identify performance bottlenecks and propose improvements.
• Ensure appropriate security and reliability standards.
• Maintain technical documentation.

Collaboration & Delivery Support

• Work closely with engineering teams, technical leads, and project stakeholders.
• Participate in technical discovery and solution design.
• Support technical estimations and feasibility assessments.
• Communicate technical challenges, risks, and dependencies.
• Take ownership of delivering working, production-ready solutions.

Pre-Sales & Solution Design (Optional Involvement)

• Support technical discovery for new embedded and edge AI opportunities.
• Evaluate technical feasibility and potential implementation approaches.
• Contribute to solution design and effort estimation.
• Participate in technical discussions with prospective clients.

Technology Office Contribution

• Help develop Ralabs’ expertise in embedded software and edge AI.
• Research and evaluate relevant hardware platforms, frameworks, and technologies.
• Share technical knowledge and engineering best practices.
• Contribute to reusable solutions and internal engineering standards.

Would be a plus

• 
  
  • Experience with CUDA, TensorRT, or other NVIDIA technologies.
  • Experience with OpenCV, GStreamer, or similar frameworks.
  • Practical experience deploying and optimizing ML/CV models on embedded hardware.
  • Experience with real-time systems and video processing.
  • Experience with secure boot, firmware protection, or embedded security.
  • Experience in hardware prototyping and working directly with electronic components.
  • Experience with hardware migration or embedded platform modernization.

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