Salary
$150k – $200k per year
Location
Hybrid (Santa Clara, United States)
Seniority
Senior · 3+ years exp
Visa
H-1B filings in 12 months: 5 · for this role: 4 · green card filings: 4
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Aug 4, 2026. PlusAI scores C on the Alion truth index.
Overview
Company
Impact
Profile match
PlusAI is an autonomous driving technology company headquartered in Santa Clara, California, that develops SuperDrive virtual driver software for factory-built autonomous heavy trucks together with truck makers, plus the HyperFoundry AI data platform. Founded in 2016, it runs a testing facility in Fremont and operations in Texas, keeps a European head office in Munich, and in 2025 agreed to go public through a merger with Churchill Capital Corp IX. Its openings are mainly for research and machine learning engineers in motion planning, reinforcement learning and vision-language-action models, software verification and validation engineers, data engineers and program managers.
Backed by Notable Capital
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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