Full-Time
Senior Software Engineer
Perception and Prediction
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$158k - $269kAnnually
Mid, Senior
Toronto, ON, Canada + 3 more
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in computer science, engineering, or a related field.
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
- Previous experience with ML pipelines, including dataset curation, labelling, training and evaluation.
- Solid understanding of computing fundamentals, including code efficiency.
- Experience with concurrent, parallel, and distributed computing techniques for efficient computation.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Familiar with linear algebra (projections, transforms) and 3D geometry.
- Collaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, delivering new capabilities that improve the performance of our machine learning systems.
- Design and implement data pipelines from various sources including real world driving and Waabi World, our high-fidelity simulator, to train deep learning models.
- Streamline training, evaluation, and deployment workflows of our production models.
- Evaluate model performance and prototype solutions for regressions in long-tail scenarios.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Participate in roadmap ideation, planning, and prioritization.
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 test and 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 industry by providing technology that reduces operational costs and improves safety for commercial vehicles.
Company Stage
Series A
Total Funding
$82.7M
Headquarters
Toronto, Canada
Founded
2021
6 month growth
↑ 5%1 year growth
↑ 15%2 year growth
↑ 121%
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.