Computer Vision Engineer Intern

About PlusAI

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.

Plus collaborates with global partners—including TRATON GROUP (Scania, MAN, International), Hyundai Motor Company, Iveco Group, Bosch, and DSV—to accelerate the real-world deployment of next-generation autonomous trucks.

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About The Role

This internship role focuses on 3D/4D Digital Twin Reconstruction & Neural Rendering within the Simulation and Perception teams. You will build and optimize pipelines that reconstruct high-fidelity, multi-modal 3D representations of driving routes from real vehicle data, applying cutting-edge view-synthesis techniques to stress-test autonomous driving stacks against complex edge cases.

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Core Focus & Key Responsibilities

• Construct Digital Twins: Develop pipelines to reconstruct high-fidelity multi-modal 3D representations using recorded sensor data (camera, LiDAR, IMU, and GPS).
• Next-Gen Neural Rendering: Apply state-of-the-art view-synthesis techniques—such as 3D Gaussian Splatting (3DGS) and NeRFs—to model complex real-world lighting, weather, and dynamic objects.
• 3D/4D Scene Simulation: Work on generating 3D/4D scene reconstructions to simulate driving environments while generating realistic multi-view camera and LiDAR sensor data.
• Validation & Verification (V&V): Integrate reconstructed environments into the perception testing framework to stress-test object detection, tracking, and edge-case scenarios.
• Multi-Modal Accuracy: Evaluate alignment and geometric consistency across different sensor modalities within the digital twin.
• Scale & Collaborate: Turn research prototypes into robust, scalable tooling alongside the Simulation and Perception teams to accelerate production deployment.

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Qualifications

Required Skills

• Education: Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related technical field.
• Machine Learning Fundamentals: Deep understanding of core ML principles and methodologies.
• Deep Learning Frameworks: Practical experience implementing deep learning models in at least one major framework (PyTorch, TensorFlow, or JAX).

Preferred Skills

• Project experience in deep learning for object detection, motion tracking, or semantic segmentation.
• Hands-on experience with 3D Computer Vision.
• Strong publication record in relevant top-tier venues (*CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH*).

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Compensation & Perks

Hourly Pay Range

• $19 – $65 per hour

*(Standard hourly rate determined based on degree level [MS vs. PhD], location, academic year, and relevant experience).*

Perks & Benefits

• Food & Snacks: Free catered lunches, along with unlimited snacks and beverages.
• Financial Benefits: Competitive salary and 401(k) plan.
• Growth Opportunities: Hands-on experience in dynamic, high-impact fields including Neural Rendering, Physical AI, and Autonomous Systems.