🚗 About Woven by Toyota 🚗
Woven by Toyota is at the forefront of Toyota's ambitious transformation into a mobility company. Inspired by a legacy of innovation for the benefit of others, our mission is to redefine mobility through human-centric innovation, expanding its meaning and societal impact.
Our work is built upon four key pillars:
- AD/ADAS: Developing cutting-edge autonomous driving and advanced driver-assist technologies.
- Arene: Creating a powerful software development platform for software-defined vehicles.
- Woven City: Building a real-world testbed for mobility innovations.
- Cloud & AI: Establishing the robust digital infrastructure that powers our collaborative efforts.
Business-critical functions support these teams, all united by a bold goal: a world with zero accidents and enhanced well-being for all.
🤖 The Team 🤖
At Woven by Toyota, we tackle the complex challenges of Autonomy at the intersection of AI, Robotics, and Advanced Driving. Our work involves a wide range of activities, including:
- Analyzing vast amounts of multimodal driving data.
- Solving intricate optimization problems in computer vision.
- Minimizing latency on hardware accelerators.
- Deploying scalable and efficient machine learning (ML) training and evaluation pipelines.
- Designing novel neural network architectures to push the boundaries of ML for Perception, Prediction, and Motion Planning.
We are seeking proactive and creative problem solvers to join us in enhancing mobility for everyone with human-centered automated driving solutions for both personal and commercial applications.
The Behavior Actuation team specifically focuses on developing state-of-the-art vehicle control and estimation algorithms, from prototype to production. We utilize control theory, optimization, and machine learning to design and implement real-time vehicle control solutions that demonstrably improve autonomy performance.
🌟 What We'll Give You 🌟
This internship offers a unique opportunity to prototype and test estimation algorithms for robust vehicle control in challenging driving conditions, such as inclement weather. You will collaborate with technical experts in control, estimation, and machine learning to design algorithms that enhance closed-loop controller performance and validate strategies in simulation or on a prototype vehicle.
Woven by Toyota internships are meticulously structured to foster both technical and professional growth. You'll contribute to real projects that will shape the future key results of our mission, receiving continuous feedback and clear goals. This supportive environment is facilitated by dedicated mentors and managers throughout your internship. At its conclusion, you'll have the chance to present your project's results to the team and other interested parties.
✅ Responsibilities ✅
- Prototype control/estimation algorithms in Python and/or C++ adhering to software development best practices.
- Conduct literature reviews across machine learning and control domains.
- Apply ML and/or data science techniques to estimation and control for evaluating robustness or algorithm development.
- Demonstrate algorithm impact in simulation or, ideally, on a vehicle.
- Quantify performance impact through the development of metrics and/or test cases.
- Embrace an innovation mindset, aiming to produce patents and/or research papers.
📚 Minimum Qualifications 📚
- Currently pursuing a Master's or PhD degree with a focus in Controls, Estimation, Robotics, Machine Learning, or related fields.
- Proficiency in Python for prototype development and PyTorch or similar for model training.
- Solid understanding of dynamics, control, convex optimization, and machine learning.
- Experience with data libraries such as Jupyter, NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, etc.
- Ability to organize information and ideas into clear technical reports and presentations.
- A passion for making driving safer.
💡 Nice to Haves (Optional) 💡
- Programming experience in C++.
- Demonstrated experience deploying algorithms on a real system (vehicle, robot, or other).
- Familiarity with robot motion planning methods such as trajectory optimization, sampling-based planning, or model predictive control.
- Experience with SQL, BigQuery, or similar tools for managing large datasets.
💰 CA, NY, CO, WA Intern Pay Scale Disclosure 💰
The base pay for this position ranges from 30−55 per hour.
This internship is a temporary, non-permanent position designed to provide practical experience and learning opportunities. The duration of the internship is 12 weeks. The total compensation offered to an intern will be dependent upon the individual's skills, experience, qualifications, location, and level.
🤝 Our Commitment 🤝
- We are an equal opportunity employer and value diversity.
- Any information we receive from you will be used solely in the hiring and onboarding process. Please see our privacy notice for more details.