Senior Machine Learning Engineer, Perception

Plus 2

Santa Clara, CA

Hybrid

Who this role is best for

Candidates with advanced degrees in AI or computer vision and experience in autonomous vehicle perception will find this technical and collaborative role in Silicon Valley.

Best fit for

Candidates with advanced degrees in AI or computer vision and experience in autonomous vehicle perception
— “Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.”
Individuals with a background in sensor fusion and real-world deployment of deep learning models
— “Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.”
Candidates who have worked in production environments and prioritize robustness and scalability
— “Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.”

Things to consider

The role demands adherence to a formal Quality Management System (QMS)
— “Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements”
This is a full-time role based in Santa Clara, CA, with no indication of remote flexibility
— “Headquartered in Silicon Valley with operations in the United States and Europe”

How to stand out

Highlight your experience with BEV-based perception models and sensor fusion techniques
— “Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.”
Demonstrate your ability to work cross-functionally with research and deployment teams
— “Collaborate cross-functionally with research, data, and deployment engineers to refine models”
Showcase your work with large-scale datasets and quantitative benchmarking
— “Benchmark perception models using large-scale datasets and well-defined quantitative metrics.”
Emphasize your hands-on experience with deep learning in real-world applications
— “Hands-on experience developing deep learning models in real-world or production environments.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

designing, implementing, and optimizing BEV-based perception models
benchmarking perception models
collaborating cross-functionally with research, data, and deployment engineers
maintaining a strong focus on performance, robustness, and scalability

Typical background

Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related fieldindustry or academic experience in autonomous vehicle perception, robotics, or related areas

Skills & requirements

Required

PythonPytorch, Tensorflow, Or JAXLidar-based 3D PerceptionBEV Representation ModelsMultimodal Sensor Fusion ArchitecturesCamera, Lidar, And Radar ModalitiesComputer VisionDeep Learning3D Geometry

Preferred

Autonomous Vehicle PerceptionRoboticsDistributed TrainingHigh-performance ComputingGPU Acceleration

Stack & domain

PythonPyTorchTensorFlowJAXLidarRadarCameraDeep LearningComputer Vision3D GeometryAutonomous VehiclesMachine LearningRobotics

About the role

Original posting from Plus 2 via Lever

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.
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.

Source: Plus 2 careers (Lever)