Senior Engineer - Perception (m/f/d)
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Key skills for this role
About the Role
Halian seeks a Senior Robotics Perception Engineer to lead development of advanced perception capabilities for autonomous systems in Abu Dhabi. The role involves architecting perception algorithms, writing production-grade C++ code, and mentoring junior engineers.
Key Skills for This Role
Responsibilities
- Architect and develop perception algorithms for object detection, tracking, terrain analysis, and scene interpretation
- Own the full lifecycle of critical perception components from concept through deployment
- Write efficient, production grade C++ code with focus on performance and real time execution
- Collaborate with cross functional teams for integration with localization, motion planning, and control systems
- Plan and execute comprehensive testing strategies including real world validation
- Provide mentorship and technical guidance to junior engineers
- Contribute to system architecture decisions for scalability and maintainability
Requirements
- Bachelor’s or Master’s degree in Robotics, Computer Vision, Engineering, or related field
- Minimum of 7 years of experience in perception systems, computer vision, or autonomous technologies
- Advanced proficiency in C++ with a strong track record of building and deploying high performance systems
- Hands on experience with robotics middleware such as ROS (ROS1 or ROS2)
- Deep knowledge of perception frameworks and libraries, such as OpenCV, PCL, or Open3D
- Practical experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow)
- Strong understanding of perception challenges such as multi sensor fusion, point cloud processing, object tracking, and sensor calibration
- Experience working with multiple sensor types, particularly LiDAR and camera systems
Full Job Posting
Role Summary
- An experienced Senior Robotics Perception Engineer is required to lead the development of advanced perception capabilities for autonomous systems.
- Focus on building robust, real time perception solutions for complex and dynamic environments.
- Involves hands on technical contributions and guiding less experienced engineers.
Key Responsibilities
- Architect and develop perception algorithms that enhance environmental understanding, including object detection, tracking, terrain analysis, and scene interpretation.
- Own the full lifecycle of critical perception components, from initial concept through implementation, optimization, and deployment.
- Write efficient, production grade C++ code with a strong focus on performance, reliability, and real time execution.
- Collaborate with cross functional engineering stakeholders to ensure seamless integration with localization, motion planning, and control systems.
- Plan and execute comprehensive testing strategies, including real world validation, to ensure consistent system performance under varying operational conditions.
- Provide mentorship and technical guidance to junior engineers, supporting their growth and promoting engineering best practices.
- Contribute to system architecture decisions, ensuring scalability, maintainability, and alignment with overall platform design.
Required Qualifications
- Bachelor’s or Master’s degree in Robotics, Computer Vision, Engineering, or a related field.
- Minimum of 7 years of experience in perception systems, computer vision, or autonomous technologies.
- Advanced proficiency in C++ with a strong track record of building and deploying high performance systems.
- Hands on experience with robotics middleware such as ROS (ROS1 or ROS2).
- Deep knowledge of perception frameworks and libraries, such as OpenCV, PCL, or Open3D.
- Practical experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow), including real time optimization techniques.
- Strong understanding of perception challenges such as multi sensor fusion, point cloud processing, object tracking, and sensor calibration.
- Experience working with multiple sensor types, particularly LiDAR and camera systems.
Preferred Experience
- Prior ownership of large scale perception modules or major technical initiatives.
- Experience working with perception systems in complex, unstructured environments.
- Familiarity with deploying and optimizing models on embedded or edge platforms (e.g., ARM based systems or GPU accelerated devices).
- Experience with containerization, deployment pipelines, and modern software engineering practices.
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