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Role Summary

An experienced Senior Robotics Perception Engineer is required to lead the development of advanced perception capabilities for autonomous systems. This role focuses on building robust, real-time perception solutions that enable reliable operation in complex and dynamic environments. In addition to hands-on technical contributions, the position involves guiding less experienced engineers and influencing system-level design decisions.

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

Candidate Profile

• Strong analytical thinker with a hands-on, solution-oriented mindset
• Comfortable working independently while contributing to broader system goals
• Effective communicator capable of articulating complex technical concepts clearly
• Passionate about mentoring and fostering knowledge sharing within engineering teams
• Driven to deliver reliable, high-quality solutions in fast-paced development environments