Data & AnalyticsHybrid

Senior Machine Learning Engineer, Perception

PlusAI · Hybrid

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from PlusAI's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: $150,000 - $250,000
Location: Santa Clara, CA
Occupation: Computer Systems Engineers/Architects(O*NET 15-1299.08)

Hiring context

How this role compares at PlusAI

PlusAI has 39 live roles in MeritLog’s catalog across 6 job families, and 12 of them are in data & analytics. 36 of those listings publish a pay range, a disclosure rate of 92%.

This role's posted range of $150,000 - $250,000 sits above 91% of the 35 other PlusAI roles quoted over the same currency and period.

PlusAI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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.

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