Autonomous Systems Perception Engineer

Autonomous Systems Perception Engineer
Location: Vancouver, CA (On-site or Hybrid)

A pioneering robotics and autonomous systems innovator is seeking a skilled Autonomous Systems Perception Engineer to push the boundaries of real-time environmental awareness for intelligent machines. This is a chance to influence how robots perceive and navigate the world—contributing to meaningful advancements in autonomy and AI integration.

This opportunity offers the flexibility of a hybrid schedule and hands-on collaboration with some of the most cutting-edge tools in robotics. The successful candidate will be instrumental in integrating advanced sensor inputs, enabling systems to perform safely and intelligently in complex, real-world environments.

Key Responsibilities:

• Architect and implement multi-sensor data fusion pipelines using LiDAR, cameras, and IMUs for robust environmental perception.
• Develop and optimize algorithms for real-time obstacle detection, mapping, and scene understanding.
• Integrate perception capabilities with navigation and planning stacks for seamless robotic decision-making.
• Run simulations and conduct field testing to validate system accuracy and performance under varied operational conditions.
• Collaborate cross-functionally with hardware, controls, and software teams to refine sensing systems.
• Continuously improve sensor calibration, synchronization, and data integrity processes.

Qualifications:

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a closely related field.
• Minimum of 2 years of experience in robotic perception, sensor fusion, or related real-time embedded applications.
• Proficiency in C++ and Python, with experience using ROS or ROS2 environments.
• Familiarity with 3D perception tools such as OpenCV, PCL, and RViz.
• Hands-on experience with sensors such as LiDAR, stereo/depth cameras, and IMUs.
• Working knowledge of SLAM techniques, point cloud processing, and visual-inertial odometry.

Preferred Experience:

• Background in multi-modal sensor fusion methods (EKF, UKF, or graph-based systems).
• Exposure to embedded deployment platforms (Jetson, Xavier, or similar).
• Previous work in autonomous vehicle, UAV, or advanced robotic platforms.
• Understanding of probabilistic robotics and large-scale environment modeling.

What’s in It for You:

• Highly competitive compensation and benefits.
• Hybrid flexibility and an onsite lab for advanced testing and experimentation.
• Join a mission-driven organization committed to reshaping how intelligent machines perceive their surroundings.
• Work in an innovation-rich culture where your technical insights directly influence autonomous functionality.

Take the next step in your robotics career and apply today to join a team building the next generation of perception systems.