Waabi

Research Engineer, Learnable Planner (Integration)

Toronto, Ontario, Canada

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, Artificial IntelligenceIndustries

Requirements

Candidates should possess an MS/PhD in machine learning, computer science, engineering, or a related field, or be an exceptional Bachelor’s student. Experience in ML-based or classical techniques for planning/decision making, such as imitation and reinforcement learning, optimization-based approaches, search methods, or probabilistic reasoning is required. A solid understanding of computing fundamentals, including code efficiency, and experience with deep learning frameworks like PyTorch and proficiency in Python, Rust, C++, and/or CUDA are also necessary.

Responsibilities

As a Research Engineer, you will integrate cutting-edge ML models into the production planning stack, developing necessary interfaces and pipelines in simulation for testing prototype or production planning models. You will collaborate closely with motion planning sub-teams and research scientists to improve the planner architecture and develop rich representations. Additionally, you will champion engineering excellence by ensuring high-quality, well-structured, and tested code, stay up-to-date with advancements in AI and self-driving technologies, work with large datasets and Waabi World, and contribute to the publication of research findings.

Skills

Machine Learning
Planning
Decision Making
Reinforcement Learning
Optimization
Search Methods
Probabilistic Reasoning
Deep Learning
PyTorch
Python
Rust
C++
CUDA

Waabi

Develops self-driving technology for trucking

About Waabi

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). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.

Key Metrics

Toronto, CanadaHeadquarters
2021Year Founded
$265.9MTotal Funding
SERIES_BCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Company Equity

Risks

Increased competition from Aurora and Volvo may impact Waabi's market share.
Reliance on NVIDIA's technology poses risks if supply chain issues arise.
Regulatory changes in Texas could affect Waabi's deployment timeline and costs.

Differentiation

Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.
The company employs a unique AI-first approach, minimizing data and computation requirements.
Waabi's generative AI enhances self-driving technology efficiency and deployment speed.

Upsides

Waabi's partnership with NVIDIA boosts its technological capabilities and market reach.
The $200 million funding round indicates strong investor confidence in Waabi's potential.
Launching in Texas positions Waabi in a favorable tech and logistics environment.

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