Computer Vision Engineer Intern

DevExplore; Santa Clara (CA); On-site; USD 26,000 - 90,000; Part time

Benefits offered by this job

Free catered lunches

401(k) plan

Growth opportunities

Job summary

PlusAI, a silicon valley AI hardware company, seeks an intern in Santa Clara to develop 3D/4D digital twins and neural rendering for autonomous driving simulations.

You will build pipelines to reconstruct high-fidelity multi-modal scenes from real vehicle data, apply NeRF/3D Gaussian Splatting, and verify alignment across sensors in a dynamic test stack.

Qualifications

• Pursuing a master's or PhD in a technical field (CS, EE, math).
• Solid grounding in ML principles and methods.
• Hands-on experience with one major DL framework (PyTorch, TensorFlow or JAX).

Responsibilities

• Construct Digital Twins: reconstruct high-fidelity multi-modal 3D representations from sensor data (camera, LiDAR, IMU, GPS).
• Apply advanced view-synthesis techniques to model lighting and dynamic objects.
• Generate 3D/4D scene reconstructions for realistic simulation of driving environments.
• Integrate reconstructed ecosystems into perception testing to stress-test detection and tracking.

Skills

MS/PhD candidate

ML fundamentals

DL frameworks

Education

MS/PhD in CS/EE/Math

Tools

PyTorch

TensorFlow

Job description

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.

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.

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.

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*).

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.