PlusAI logo
PlusAI
Verified live 2d ago

Senior Machine Learning Engineer, Perception

Brief overview

Santa Clara, CAIn-person
MastersOr in progress
$145k–$200k/yrStated range
3+ yrsMinimum
55 H-1B approvalsDept. of Labor
18 green cardsCertified filings
PythonPyTorchTensorFlowJAXdeep learning pipelinesLiDAR-based 3D perceptionBEV representation modelsmultimodal sensor fusioncamera, LiDAR, and radar integrationcomputer visiondeep learning3D geometry

About the company

PlusAI logo
PlusAIplus.ai

PlusAI is an artificial intelligence company pioneering AI-based virtual driver software for factory-built autonomous trucks.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
55H-1B approved
100%approval rate
9new H-1B hires
18PERM certified
$180,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202310
202422
202521
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20234
20247
20251
20261
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20245
202513
Top sponsored roles
Staff Software EngineerSenior Research EngineerSenior Software EngineerSoftware Engineer
Sponsored employees from
IndiaChinaCanada

Job description

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.

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