Senior Machine Learning Engineer, Perception

PlusAI, Inc.; Santa Clara (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Catered lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI, Inc. is seeking a Senior Machine Learning Engineer for Perception to design BEV fusion models using camera, LiDAR, and radar inputs for autonomous trucks. The role focuses on scalable perception algorithms and 3D scene understanding.

You will benchmark on large-scale datasets, collaborate with research, data, and deployment teams, and ensure production-ready performance aligned with QMS standards. The position offers a highly competitive salary and benefits, with opportunities to shape

Qualifications

• PhD or Masters in AI, CS, EE, Robotics or related field.
• PhD new grad or Masters + 3 years industry experience.

Responsibilities

• Design BEV-based perception models fusing camera, LiDAR and radar inputs.
• Benchmark models on large-scale datasets with quantitative metrics.
• Collaborate with research, data, and deployment engineers to refine models for production.

Skills

Python

Deep learning

Computer vision

3D geometry

Sensor fusion

LiDAR

Education

PhD or Masters in AI/CS/EE/Robotics

Masters + 3 years industry experience

Tools

PyTorch

TensorFlow

JAX

Job description

Senior Machine Learning Engineer, Perception

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.

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.