Robotics System Expert

CÔNG TY CỔ PHẦN NGHIÊN CỨU PHÁT TRIỂN VÀ ỨNG DỤNG NGƯỜI MÁY ĐA NĂNG VINMOTION · Hà Nội

Type

Full-time

Work mode

On-site

Level

Staff

Industry

Other

Salary

Thương lượng

Location

Huyện Gia Lâm, Hà Nội, Hà Nội

Overview

Position: Robotics System Expert
Department: Application Deployment
As a Software Engineer, you will be responsible for designing, developing, and implementing solutions for SLAM programs, localization, and navigation for robots ….
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

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

Training

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