Description

Design and implement real-time algorithms for sensor fusion using data from cameras, LiDAR, and other sensors. Develop and optimize SLAM solutions for autonomous navigation. Architect and maintain CI/CD pipelines for automated testing, integration, and deployment to edge systems. Build and enhance multi-threaded, high-performance software systems. Design scalable APIs to support efficient data flow across complex system architectures.

Responsibilities

• Design and implement real-time sensor fusion algorithms.
• Develop and optimize SLAM solutions for autonomous navigation.
• Architect and maintain CI/CD pipelines for edge deployment.
• Build multi-threaded, high-performance software systems.
• Design scalable APIs for complex system data flow.

Required Skills

• 8+ years of experience in robotics, autonomous systems, or related fields (or Master’s degree with 6+ years).
• Expert-level proficiency in modern C++, including multithreaded application development.
• Strong programming skills in Python.
• Hands-on experience with SLAM algorithms using LiDAR and/or camera-based systems.
• Solid foundation in 3D geometry, kinematics, and applied mathematics/statistics.
• Experience with CI/CD tools (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines).
• Proficiency in Docker or containerized deployment environments.
• Strong experience with Git and Agile development practices.

Preferred Skills

• Experience with computer vision and deep learning models.
• Proficiency in PyTorch or similar frameworks.
• Background in sensor systems, detection technologies, or defense-related applications.

Key Skills

Education

Bachelor's or Master's degrees