16 часов назад
Deep Learning Research Intern (Autonomous Driving)
19 - 65$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Deep Learning Research Intern (Autonomous Driving) (BEV/camera/LiDAR/radar): Researching and evaluating multimodal Bird's Eye View perception models for 3D scene understanding in autonomous trucks with an accent on sensor fusion, quantitative benchmarking, and production relevance. Focus on designing experiments, investigating fusion architectures, and translating research findings into scalable perception components.
Location: Santa Clara, California, United States. Workplace: On-site
Salary: $19–$65 per hour. Internship hourly rates depend on position, location, year in school, degree, and experience.
Company
AI develops AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.
What you will do
- Research, prototype, and evaluate Bird's Eye View perception models that fuse camera, LiDAR, and radar data.
- Design and run experiments on large-scale autonomous driving datasets using quantitative performance metrics.
- Investigate multimodal fusion architectures to improve accuracy, robustness, and efficiency.
- Collaborate with research scientists and perception engineers to translate findings into production-ready components.
- Document experiments, results, and insights for the research team.
- Follow applicable Quality Management System requirements.
Requirements
- Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong Python programming skills and experience building deep learning pipelines.
- Hands-on experience with PyTorch, TensorFlow, or JAX.
- Strong 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.
Nice to have
- Research or project experience in autonomous vehicle perception, robotics, or related fields.
- Familiarity with camera, LiDAR, and radar 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.
Culture & Benefits
- Opportunity to work and grow in an innovative field focused on autonomous driving.
- Professional development opportunities.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
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