Research Engineer, Neural Rendering
Toronto, CAN, San Francisco, CA & Remote - US & Canada
With offices in Toronto, San Francisco, and Dallas, 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 Sensor Simulation, you will create the next generation of sensor simulation software 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. Senior engineers are welcome to apply.
You will...- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge and high-fidelity data-driven multi-sensor simulation stack leveraging graphics, computer vision, and ML.- Work to scale Waabi World sensor simulation for high throughput dataset generation and interactive closed-loop scenarios with the Waabi Driver.- Work on enhancing our controllable and diverse content creation pipeline to build rich and realistic digital twins in Waabi World, using the latest technologies in neural rendering and generative modeling. - Have the opportunity to publish work externally at top machine learning, computer vision, graphics, and robotics conferences (NeurIPS, CVPR, SIGGRAPH, CoRL, etc.).
Qualifications:- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.- Demonstrated software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.- Proficient development skills in Python and C++/Rust.- Strong fundamentals in linear algebra and 3D geometry.- Familiar with training and deploying machine learning models and PyTorch.- Experience with graphics rendering pipelines, such as raster graphics, or ray tracing light transport simulation.- Open-minded and collaborative team player with a willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:- Master/PhD in machine learning, computer science, engineering, or a related field.- Experience with graphics performance optimization and CUDA.- Experience with inverse graphics and illumination models, such as material and environment lighting estimation.- Experience in 3D game development, rendering engines (e.g. Cycles, Octane, Mitsuba2) and 3D software (e.g. Blender, 3ds Max, Maya).- Experience with sensor models such as camera, LiDAR, RADAR, etc.- Experience with physics and game engines (e.g., Bullet, PhysX, cannon.js).- Experience with cloud computing (e.g., AWS Batch, Docker).The US yearly salary range for this role is: $122,000 - $215,000 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. Apply
Job Profile
Catered meals Competitive compensation Competitive compensation and equity awards Equity awards Flexible hours Health and wellness benefits Team building activities Unlimited Vacation Work from home support
Tasks- Collaborate with research scientists
- Develop sensor simulation software
- Enhance content creation pipeline
- Publish research at conferences
3D Geometry 3Ds Max AI AWS Blender Bullet C C++ Cannon.js Cloud Computing Computer Vision CUDA Docker Engineering Game development Generative modeling Geometry Graphics rendering Linear algebra Machine Learning Maya ML Neural Rendering Optimization Performance Optimization Physics Physics Engines PhysX Python PyTorch Research Robotics Rust Self-driving technology Simulation Software Software Engineering
EducationBachelor Bachelor's Bachelor's in Computer Science Computer Science Engineering Machine Learning Master's Ph.D. Related Technical Discipline
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Edmonton America/Los_Angeles America/Moncton America/New_York America/Regina America/St_Johns America/Toronto America/Vancouver Pacific/Honolulu UTC-10 UTC-3 UTC-4 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9