Deep Learning Research Intern — Multimodal BEV Perception

Plus 2; Santa Clara (CA); On-site; USD 20,000 - 31,000; Part time

Benefits offered by this job

Catered lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI, a Silicon Valley-based Physical AI company, seeks a Deep Learning Research Intern to join its Perception team in Santa Clara, CA. You will work on BEV fusion using camera, LiDAR, and radar, advancing perception for autonomous trucks in real-world contexts.

As a Ph.D. or Master’s student in AI, CS, EE, or robotics, you will design and evaluate scalable perception models, collaborate with researchers, and document findings while aligning with QMS requirements.

Qualifications

• Pursuing Ph.D. or Master’s in AI, CS, EE, Robotics or related field.
• Strong programming skills in Python and building deep learning pipelines.
• Hands-on experience with PyTorch, TensorFlow, or JAX.
• Solid foundation in computer vision, deep learning, and 3D geometry.
• Coursework or project in LiDAR-based 3D perception or BEV representations.
• Understanding of multimodal sensor fusion concepts.

Responsibilities

• Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.
• Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using quantitative metrics.
• Investigate novel multimodal fusion architectures to improve accuracy, robustness, and efficiency.
• Collaborate with research scientists and perception engineers to translate findings into production-ready components.
• Document experiments, results, and insights for the research team.
• Operate with the company’s QMS requirements where applicable.

Skills

Python

Deep learning pipelines

Multimodal fusion concepts

Computer vision

3D geometry

Education

Ph.D. or Master’s in AI/CS/EE/Robotics or related

Tools

PyTorch

TensorFlow

JAX

Job description

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.

We are seeking a highly motivated Deep Learning Research Intern to join our Perception team, working on Bird's Eye View (BEV) fusion models using multimodal sensor inputs, including camera, LiDAR, and radar. You will support the design and evaluation of scalable perception algorithms that enable 3D scene understanding for autonomous driving, working closely with research engineers on real-world, production-relevant problems.

• Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.

• Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using well-defined quantitative metrics.

• Investigate novel multimodal fusion architectures and techniques to improve accuracy, robustness, and efficiency.

• Collaborate closely with research scientists and perception engineers to translate findings into production-ready components.

• Document experiments, results, and insights clearly for the broader research team.

• Perform work in accordance with the company's Quality Management System (QMS) requirements where applicable.

• Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.

• Strong programming skills in Python and experience building deep learning pipelines.

• Hands-on experience with PyTorch, TensorFlow, or JAX.

• Solid foundation in computer vision, deep learning, and 3D geometry.

• Coursework or project experience with LiDAR-based 3D perception or BEV representation models.

• Understanding of multimodal sensor fusion concepts

• Prior research or project experience in autonomous vehicle perception, robotics, or related fields.

• Familiarity with camera, LiDAR, and radar modalities, including synchronization, calibration, and integration in perception pipelines.

• Experience with distributed training, high-performance computing, or GPU acceleration.

• Publications or open-source contributions in perception, 3D vision, or multimodal learning.

Your opportunities joining PlusAI

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

• Catered free lunch, unlimited snacks and beverages.
• Highly competitive salary and benefits package, including 401(k) plan.