Robotics System Expert

Top 3 Reasons To Join Us Competitive Compensation World-Class Team in Humanoid Robotics Cutting-Edge Humanoid Robot Products The Job

About the job

 

Job Description:

• Position: Robotics System Expert
• Department: Application Deployment
• Location: Gia Lam, Ha Noi
• Reports to: Head of System integration.

 

Job Summary:

As a Software Engineer, you will be responsible for designing, developing, and implementing solutions for SLAM programs, localization, and navigation for robots ….

 

Responsibilities:

• Define the overall architecture of robotic systems, including hardware, software, and communication frameworks.
• Ensure modularity and scalability in design for future upgrades and integrations
• Select appropriate computing platforms, middleware (e.g., ROS2), and networking solutions.
• Design and optimize advanced SLAM architectures (e.g., graph-based SLAM, deep learning-based SLAM).
• Lead the integration of multiple SLAM approaches (e.g., visual SLAM + LiDAR SLAM).
• Develop high-performance, scalable, and modular robotics software solutions.
• Architect real-time sensor fusion frameworks to enhance localization accuracy.
• Improve parallel computing and GPU acceleration for SLAM-related tasks.
• Mentor and guide junior engineers, conduct code reviews and technical training.
• Contribute to research and development by evaluating state-of-the-art SLAM techniques.
• Optimize robotics software for real-world deployment in harsh environments.
• Collaborate with cross-functional teams to define long-term SLAM strategies.
• Document code and write technical reports on development progress.

Your Skills and Experience

Requirements:

• Advanced SLAM Expertise: Deep knowledge of SLAM backends, graph optimization, sensor fusion
• Linux System Optimization: Experience with real-time Linux kernels, networking, and system performance tuning.
• High-Performance Computing: Knowledge of multithreading, GPU acceleration (CUDA, OpenCL)
• C++ Expertise: Strong proficiency in C++ (memory management, performance optimization, templates).
• Machine Learning in SLAM: Experience with deep learning-based SLAM (e.g., DeepVO, DROID-SLAM, SuperGlue, reinforcement learning)
• Project Leadership: Ability to architect, plan, and execute complex robotics projects.
• Mentorship & Code Review: Experience mentoring junior engineers and conducting rigorous code reviews.
• Industry Experience: Familiarity with real-world robot deployments in industrial, automotive, or research settings.
• Experience: 7+ years of experience in robotics software engineering, SLAM, or autonomous systems.

Why You'll Love Working Here

• Be part of a groundbreaking team shaping the future of robotics and AI
• Work in a dynamic, fast-paced environment with opportunities for growth
• Competitive compensation and benefits package