Research Engineer, Sensor Simulation

Toronto - Canada

Monthly Salary: $ 148000 - 268000

Posted on: 31-10-2025

Vacancies: 1 Vacancy

Job Summary

Waabi founded by AI pioneer and visionary Raquel Urtasun is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to drive safely in the real world Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology logistics and the Canadian innovation ecosystem.

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:

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

You will

- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.

- Use cutting edge techniques in reconstruction neural rendering and generative AI to build large-scale efficient digital twins from real-world camera LiDAR and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF 3D Gaussian Splatting diffusion models etc.

- Collaborate with Waabis autonomy and safety teams to improve the realism and diversity of Waabi World.

- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR ECCV ICCV SIGGRAPH NeurIPS ICLR ICRA RA-L).

Qualifications:

- Shipping Production Software. You have experience in reading and developing production quality software versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.

- Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models vision foundational models) or neural rendering (NeRF 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.

- Cloud Machine Learning. Experience designing launching and debugging GPU machine learning jobs in the cloud (PyTorch TensorFlow).

- Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch as well as in at least one native systems language such as C or Rust.

The US yearly salary range for this role is: $148000 - $268000 USD in addition to competitive perks & benefits. Waabi (US) Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.