Research Engineer, Calibration

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

You will…
- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).
- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.
- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.
- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Qualifications:
- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.
- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.
- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.

Bonus:
- Experience with building and managing complex data pipelines.
- Experience working on real-time state estimation integrity monitoring.
- Solid knowledge in performance profiling and optimization.
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

As a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

You will…
- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).
- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.
- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.
- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Qualifications:
- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.
- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.
- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.
- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.

Bonus:
- Experience with building and managing complex data pipelines.
- Experience working on real-time state estimation integrity monitoring.
- Solid knowledge in performance profiling and optimization.
- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.

The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.