Senior Robotics Engineer (Perception), SteerAI

About SteerAI

Role Overview

Senior Perception Engineer

Key Responsibilities

• **Design, implement, and optimize**
• core perception features, significantly improving capabilities such as robust multi-object tracking, advanced semantic segmentation, and sophisticated LiDAR-based terrain and hazard understanding.
• **Take technical ownership**
• of one or more critical components within the CoreX perception module, driving their execution from concept through production deployment and validation.
• Develop
• clean, high-performance C++ code
• aligned with stringent industry best practices and ROS1/ROS2 standards, prioritizing real-time constraints and reliability.
• **Lead complex integration tasks**
• by collaborating closely with senior engineers from the localization, planning, and controls teams to optimize interfaces and resolve critical system-level issues.
• **Design and execute rigorous field validation**
• and testing plans to ensure perception features meet mission-critical performance requirements in real-world, dynamic conditions.
• **Act as a technical mentor**
• to junior engineers, providing guidance on design patterns, best coding practices, and debugging complex autonomy challenges.
• Contribute significantly to architectural discussions, ensuring new features fit seamlessly into the existing CoreX framework.

Qualifications

• Bachelor’s or Master's degree in Robotics, Computer Vision, or a related quantitative field.
• **7+ years of experience**
• in the design and deployment of real-time perception, computer vision, or autonomy systems.
• **Expert-level programming skills in C++**
• with extensive experience in developing and deploying mission-critical systems based on ROS1 or ROS2.
• **Deep, proven proficiency**
• with advanced perception libraries (e.g., PCL, Open3D, OpenCV) and modern deep learning stacks (PyTorch, TensorFlow, TensorRT), including optimization for real-time edge deployment.
• Strong command of both traditional and modern
• deep learning-based perception techniques
• , particularly with hands-on experience in transformer-based models and efficient data pipeline creation.
• **Demonstrated expertise**
• in tackling complex perception problems like multi-sensor fusion, handling high-density point cloud data, advanced obstacle avoidance, and robust sensor calibration.
• Expertise across multiple sensor modalities, specifically
• LiDAR and advanced camera systems
• (monocular, stereo)
• Mastery of modern software development workflows, version control (Git), and deployment tools (Docker).
• Proven experience in taking
• technical lead
• over a major project or feature and successfully seeing it through to deployment.
• Significant experience and specialization in
• unstructured or off-road terrain perception
• , including complex navigation and hazard detection.
• Direct experience with the deployment and optimization of perception models on
• ARM64-based embedded platforms
• (e.g., NVIDIA Jetson family).
• Exceptional written and verbal communication skills, capable of explaining complex ideas and justifying technical decisions effectively.
• A strong, results-oriented attitude with the ability to work independently and drive technical initiatives to completion within a fast-paced environment.
• Demonstrated ability to positively influence team performance through knowledge sharing and technical mentorship.

What We Offer