Responsibilities:
Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.
Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using well-defined quantitative metrics.
Investigate novel multimodal fusion architectures and techniques to improve accuracy, robustness, and efficiency.
Collaborate closely with research scientists and perception engineers to translate findings into production-ready components.
Document experiments, results, and insights clearly for the broader research team.
Perform work in accordance with the company's Quality Management System (QMS) requirements where applicable.
Required skills
Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
Strong programming skills in Python and experience building deep learning pipelines.
Hands-on experience with PyTorch, TensorFlow, or JAX.
Solid foundation in computer vision, deep learning, and 3D geometry.
Coursework or project experience with LiDAR-based 3D perception or BEV representation models.
Understanding of multimodal sensor fusion concepts
Preferred Skills:
Prior research or project experience in autonomous vehicle perception, robotics, or related fields.
Familiarity with camera, LiDAR, and radar modalities, including synchronization, calibration, and integration in perception pipelines.
Experience with distributed training, high-performance computing, or GPU acceleration.
Publications or open-source contributions in perception, 3D vision, or multimodal learning.
Skills Required
- Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field
- Strong programming skills in Python and experience building deep learning pipelines
- Hands-on experience with PyTorch, TensorFlow, or JAX
- Solid foundation in computer vision, deep learning, and 3D geometry
- Coursework or project experience with LiDAR-based 3D perception or BEV representation models
- Understanding of multimodal sensor fusion concepts
- Prior research or project experience in autonomous vehicle perception, robotics, or related fields
- Familiarity with camera, LiDAR, and radar modalities including synchronization, calibration, and integration
- Experience with distributed training, high-performance computing, or GPU acceleration
- Publications or open-source contributions in perception, 3D vision, or multimodal learning
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
Plus Insights
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
