Staff Perception Engineer - Robotics

Our client is an innovative automotive robotics company transforming vehicle service and automation with advanced, intelligent robotic systems. Supported by industry leaders and powered by a world-class team of engineers and roboticists, they are pushing the boundaries of autonomous technology. Their mission: deliver robust, scalable robotics solutions that solve complex challenges in the automotive industry.

Staff Robotics Perception Software Engineer
We are looking for a talented Robotics Perception Software Engineer to join our expanding robotics team. You will design and optimize perception algorithms that enable autonomous systems to accurately interpret and interact with real-world automotive environments. Your work will be central to the performance, safety, and reliability of our next-generation robotic platforms.

Key Responsibilities

• Develop and refine perception algorithms for object detection, tracking, and scene understanding.

• Integrate and fuse data from cameras, lidars, radars, and other sensors into accurate environmental models.

• Implement SLAM, 3D reconstruction, and localization systems.

• Build robust sensor calibration and synchronization frameworks.

• Develop real-time perception pipelines for closed-loop robotic control.

• Collaborate with hardware, planning, and controls teams to integrate perception modules into the full system stack.

• Conduct field tests and improve system robustness in diverse automotive environments (garages, service bays, tire shops, etc.).

Required Qualifications

• B.S., M.S., or Ph.D. in Computer Science, Robotics, Electrical Engineering, or related field.

• 3+ years of experience developing software for robotic perception systems.

• Strong expertise in 3D computer vision, deep learning, and sensor fusion.

• Proficiency in C++ and Python.

• Experience with ROS/ROS2, OpenCV, PCL, or similar frameworks.

• Familiarity with TensorFlow or PyTorch.

• Hands-on experience with RGB cameras, lidars, radars, and IMUs.

• Knowledge of calibration, SLAM, and real-time system constraints.

Preferred Qualifications

• Experience deploying perception systems in commercial robotic products.

• Background in automotive robotics or industrial automation.

• Knowledge of CUDA, GPU acceleration, and real-time computing.

• Experience with simulation tools such as Gazebo, Isaac Sim, or Unity.

• Familiarity with automotive applications like ADAS, autonomous navigation, or robotic vehicle servicing.