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 skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding. Responsibilities Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs. Benchmark perception models using large-scale datasets and well-defined quantitative metrics. Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications. Maintain a strong focus on performance, robustness, and scalability for deployment in production systems. Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills: Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field. Ph.D. new grad or Masters + 3 years industry experience Proficiency in Python and experience building deep learning pipelines. Strong expertise in PyTorch, TensorFlow, or JAX. Proven experience with LiDAR-based 3D perception and BEV representation models Deep understanding of multimodal sensor fusion architectures and techniques. Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines. Solid foundation in computer vision, deep learning, and 3D geometry. Preferred Skills: Industry or academic experience in autonomous vehicle perception, robotics, or related areas. Hands-on experience developing deep learning models in real-world or production environments. Experience with distributed training, high-performance computing, or GPU acceleration. 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.

Requirements

Must-haves

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.
Benchmark perception models using large-scale datasets and well-defined quantitative metrics.
Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.
Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Ensure team compliance with QMS, monitor quality, and drive process improvements.
Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
Ph.D. new grad or Masters + 3 years industry experience
Proficiency in Python and experience building deep learning pipelines.
Strong expertise in PyTorch, TensorFlow, or JAX.
Proven experience with LiDAR-based 3D perception and BEV representation models
Deep understanding of multimodal sensor fusion architectures and techniques.
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
Solid foundation in computer vision, deep learning, and 3D geometry.

Nice-to-haves

Industry or academic experience in autonomous vehicle perception, robotics, or related areas.
Hands-on experience developing deep learning models in real-world or production environments.
Experience with distributed training, high-performance computing, or GPU acceleration.
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Vision

401(K)

Professional Development