Full-Time
Research Engineer
Neural Rendering
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$122k - $215kAnnually
Junior, Mid
Toronto, ON, Canada + 1 more
More locations: San Francisco, CA, USA
Hybrid role requiring in-office presence.
- 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.
- Master/PhD in machine learning, computer science, engineering, or a related field (Bonus).
- Experience with graphics performance optimization and CUDA (Bonus).
- Experience with inverse graphics and illumination models, such as material and environment lighting estimation (Bonus).
- Experience in 3D game development, rendering engines (e.g. Cycles, Octane, Mitsuba2) and 3D software (e.g. Blender, 3ds Max, Maya) (Bonus).
- Experience with sensor models such as camera, LiDAR, RADAR, etc. (Bonus).
- Experience with physics and game engines (e.g., Bullet, PhysX, cannon.js) (Bonus).
- Experience with cloud computing (e.g., AWS Batch, Docker) (Bonus).
- 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.).
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). Waabi stands out from competitors by utilizing an advanced simulation platform called Waabi World, which allows them to refine their self-driving systems in a virtual environment, minimizing the need for extensive real-world testing. This not only cuts costs but also enhances safety and adaptability. The goal of Waabi is to transform the trucking sector by providing technology that reduces operational costs and improves safety for commercial vehicles.
Company Stage
Series B
Total Funding
$265.9M
Headquarters
Toronto, Canada
Founded
2021
6 month growth
↑ 23%1 year growth
↑ 20%2 year growth
↑ 104%
Simplify's Take
What believers are saying
- Waabi's $200M funding round from prominent investors like Uber and Khosla Ventures underscores strong financial backing and growth potential.
- The launch of an AV trucking terminal in Texas and commercial pilots with Uber Freight highlight Waabi's readiness for large-scale deployment.
- Waabi's generative AI technology promises to revolutionize the trucking industry by enhancing safety, reducing costs, and improving operational efficiency.
What critics are saying
- The autonomous vehicle industry is highly competitive, with established players like Tesla and Aurora posing significant challenges.
- Regulatory hurdles and public skepticism around self-driving technology could delay Waabi's commercial deployment.
What makes Waabi unique
- Waabi's use of advanced simulation technology, Waabi World, significantly reduces the need for real-world testing, setting it apart from competitors relying heavily on physical trials.
- The company's AI-first approach, led by AI pioneer Raquel Urtasun, focuses on efficient reasoning and minimal data requirements, unlike Tesla's imitation learning model.
- Waabi's strategic partnerships with industry giants like NVIDIA and Uber provide a robust ecosystem for rapid technological advancements and market penetration.
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