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Research Engineer, Sensor Simulation

unlimited holidays - fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
122 - 215K yearly
Work from: 

Offer summary

Qualifications:

Bachelor's in relevant field., Software engineering experience in Python/C++/Rust., Strong grasp of linear algebra & 3D geometry., Experience with ML models and PyTorch., Familiarity with graphics rendering pipelines..

Key responsabilities:

  • Develop sensor simulation software for autonomous driving.
  • Collaborate to build practical rendering solutions.
  • Enhance content creation pipeline using latest technologies.
  • Contribute and potentially publish work externally.
  • Scale Waabi World simulation stack for high throughput.
Waabi logo
Waabi Truck & road transport Scaleup https://www.waabi.ai/
51 - 200 Employees
See more Waabi offers

Job description

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, 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.

Required profile

Experience

Industry :
Truck & road transport
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Teamwork

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