PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Construct Digital Twins: Develop and optimize pipelines to reconstruct high-fidelity, multi-modal 3D representations of key driving routes using recorded vehicle data (camera, LiDAR, IMU, and GPS).
Implement Next-Gen Tech: Apply state-of-the-art neural rendering and view-synthesis techniques, such as 3D Gaussian Splatting (3DGS) and NeRFs, to handle challenging real-world lighting, weather, and dynamic objects.
Drive Validation & Verification (V&V): Integrate reconstructed environments into our perception testing framework to stress-test object detection, tracking, and edge-case scenarios.
Evaluate Multi-Modal Accuracy: Ensure alignment and geometric consistency between different sensor modalities within the reconstructed digital twin.
Collaborate & Scale: Work closely with the Simulation and Perception teams to turn research prototypes into robust, scalable tooling that directly impacts our production deployment timeline.
Responsibilities:
Work on generating 3D/4D scene reconstructions to simulate driving scenes while generating realistic sensor data including multiple view camera and lidar
Required Skills:
Pursuing MS or PhD in CS, EE, mathematics, statistics or related field
Deep understanding of machine learning principles and methodologies
Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax)
Preferred Skills:
Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation
Experience with 3D Vision
Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)