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Job Description & How to Apply Below
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
- 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, Tensor Flow), 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
- 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
- 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
Position Requirements
10+ Years
work experience
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