Design and optimize BEV-based perception models that fuse camera, LiDAR, and radar data for autonomous driving and 3D scene understanding. Benchmark models on large-scale datasets, improve robustness and scalability, collaborate with research and deployment teams, and support production deployment. The role also requires compliance with quality management processes and continuous improvement. Key expertise includes deep learning, LiDAR-based 3D perception, sensor fusion, calibration, synchronization, and computer vision.
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.
Similar Jobs
Hardware • Healthtech • Robotics • Manufacturing
Develop and deploy machine learning perception and controls systems for a cardiac surgical robot. Build image-to-robot registration, pose estimation, sensor-fusion, data, simulation, and evaluation pipelines using fluoroscopy and echocardiography. Collaborate with robotics, controls, clinical, and physician teams to improve device models and controllers. Deploy real-time models on robotic systems and produce validation and design documentation for FDA design controls.
Top Skills:
3D GeometryC++Computer VisionEchocardiographyFactor GraphsFda Design ControlsFluoroscopyKalman FiltersMlopsOnnxPythonPyTorchRosRos2Tensorrt
Automotive • Software • Automation
Lead the design and development of perception foundation models for autonomous vehicles. Build deep learning systems for 3D scene understanding, sensor fusion, multimodal data analysis, training, evaluation, deployment, and inference optimization. Collaborate across perception, motion planning, simulation, infrastructure, and tooling teams while applying rigorous safety standards and agile practices.
Top Skills:
Autonomous Vehicle PlatformsC++Cloud Ml InfrastructureComputer VisionDeep LearningDistributed Ml InfrastructureMachine LearningMultimodal Sensor FusionPython
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and productize machine learning models for autonomous vehicle perception, including LiDAR and camera perception, sensor fusion, detection, classification, segmentation, and tracking. Build scalable data, training, metrics, and performance workflows, and implement efficient C++ code for the NVIDIA DRIVE AV platform. Collaborate across engineering teams, track advances in machine learning, and optimize models for real-time embedded inference.
Top Skills:
Autonomous DrivingC++Computer VisionDeep LearningLidarMulti-Sensor FusionNvidia Drive AvPythonPyTorchTensorFlowTensorrtTransformers
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
