Woven Planet is building the safest mobility in the world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all.
For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people. At Woven Planet we strive to build a safer, happier, more sustainable world.
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy, elevate well-being, and improve how people live, work, and play. We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.
About the Organization
Woven Planet is developing automated driving technology using a data-driven approach. We’re building products at autonomy levels 2-4 to drive both near- and long-term improvements to mobility for all. Woven Planet has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and a built in path to product and revenue—a combination rarely seen in the mobility industry. We’re looking for doers and creative problem solvers with a passion for improving lives.
Each member of our diverse and talented group of software and hardware engineers has the opportunity to make a meaningful impact on our technology and products. Our growing team works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in Silicon Valley, and explores the industry’s most compelling research problems at our office in London. With support from our Woven Planet colleagues in Tokyo, our work to improve the future of mobility spans the globe.
You will be interacting on a daily basis with other software engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision. We work on a diverse set of problems ranging from solving optimization problems in 3D geometric computer vision, to minimizing latency on hardware accelerators, to designing novel neural network architectures, to applying and advancing the state-of-the-art of machine learning for Perception, Prediction, and Motion Planning.
As an engineer on the Calibration, you will be responsible for ensuring all of the sensors on our autonomous vehicle are calibrated. This will involve developing and maintaining algorithms to estimate the intrinsics and extrinsics of cameras, IMUs, LiDARs and radars and use them to calibrate our in-house development car. You will analyze calibration data, design and implement metrics, triage issues related to calibration, and support our operations team. Further, you will contribute to our online calibration, mapping and localization software modules as part of the onboard Autonomy stack. For this position, we are looking for a software engineer with a strong background in mathematics, computer vision and deep learning that is a fast learner and has the ability and enthusiasm to operate in several closely related functional areas.
- Work closely with the Calibration, Localization and Mapping team and the rest of the Perception team to drive the requirements on sensor calibration.
- Design core algorithms to estimate the calibration of all sensors on our vehicles, including cameras, IMUs, LiDARs and radars in both controlled and natural environments.
- Design and implement end-to-end data pipelines for sensor calibration, and the calibration software that gets deployed on our fleet.
- Drive the understanding of calibration quality and their impact in downstream systems.
- Contribute to the online localization and mapping stack.
Experience & Skills
- BS/MS in Computer Science, Electrical Engineering, Math, Physics or related fields.
- Ability to produce production-quality C++ software with C++11 or newer.
- Strong software-engineering skills: ability to produce design documents, incorporate feedback, write modular code, define interfaces, and develop test and verification plans.
- Strong background in linear algebra, numerical optimization, geometry, or statistics.
- Expertise in building deep learning models and systems with Python and C++.
- Ability to work in a fast-paced environment and collaborate across teams and disciplines
- Openness to new / different ideas. Ability to evaluate multiple approaches and choose the best one based on first principles.
- 2+ years experience working in a related role.
- 3+ years developing in C++ / Python.
Nice to Have
- Hands-on experience with applying computer vision, machine learning or robotics theory to real products
- Desired experience in one of or more of these areas:
- Applying visual geometry to solve structure-from-motion, depth from stereo, visual/visual-inertial odometry or visual SLAM type problems
- Nonlinear least-squares estimation / bundle-adjustment / Kalman filtering / sensor-fusion.
- LiDAR based SLAM or point-cloud registration experience.
- Experience with AHRS systems (IMU/Accelerometers/GPS/odometry etc).
- Experience processing RGBD data.
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.