Job Description
As a Senior Software Engineer focusing on Perception & Sensor Fusion, you will design and develop the real-time perception stack running onboard each Mapless vehicle. You will be responsible for creating the next iteration of our on-vehicle safety cocoon fusing inputs from multiple sensors, such as pointclouds and processed camera data, to detect and mitigate potential hazards. Our perception stack is a safety critical component, and your work will be essential to ensuring robust and reliable performance of the Mapless fleet. What you will do: Implement and maintain sensor fusion algorithms and pipeline for Lidar & camera-based perception in C++. Develop methods, metrics, and tests to improve the performance of the perception pipeline. Work with large amounts of real and synthetic data to continuously improve the algorithmic and computational performance of the perception stack. Aid in sensor requirements specification and sensor sourcing with hardware teams & suppliers. Define and conduct sensor test procedures (test bench). Implement off-line and on-line sensor calibration processes and tools. Develop sensor models for simulation and SIL testing. Quantify sensor failures and insufficiencies (e.g., adverse weather conditions) in collaboration with safety engineering. Requirements: Required: Bachelor’s degree or higher in Computer Science, EE, Robotics, MechE, or a related field. 5+ years of modern C++ software development experience (C++11 and beyond) on Unix/Linux. Experience designing, developing, and testing perception systems with different sensing modalities, e.g., camera image processing, point cloud processing, computer vision. Experience developing software with real-time constraints. Preferred: Software development expertise on automotive or other real-time embedded platforms. Solid background in parallelism and concurrency. Experience with GPGPU programming (CUDA).
Mapless AI is a research company that develops safe alternatives for transportation systems. The company's headquarters are in Pittsburgh, Pennsylvania.