PlusAI

Senior Machine Learning Engineer, Perception

PlusAI Santa Clara, California, United States · $150K–$200K/yr

Software Development · 201-500 employees

Aug 04
machine-learning Mid (2-5 yrs) Full-time United States
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About the role

Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar sensor inputs. Collaborate with cross-functional teams to benchmark models and ensure scalability for production autonomous driving systems.

What they look for

Machine Learning Perception Bird’s Eye View (BEV) LiDAR Sensor Fusion Python PyTorch TensorFlow JAX 3D Perception Computer Vision Deep Learning 3D Geometry Autonomous Driving Data Pipelines GPU Acceleration

Requirements

Requires a Ph.D. or Master's degree in a relevant technical field with industry experience in deep learning and 3D perception. Candidates must be proficient in Python and experienced with multimodal sensor fusion architectures.

Benefits

401(k) plan Catered free lunch Unlimited snacks and beverages Professional development opportunities

Full 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.

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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.

\n$150,000 - $200,000 a year

\nYour 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.

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