[Remote] Research Engineer, Learnable Planner (Integration) at Waabi

Toronto, Ontario, Canada

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

Skills

Key technologies and capabilities for this role

Machine LearningPlanningDecision MakingReinforcement LearningOptimizationSearch MethodsProbabilistic ReasoningDeep LearningPyTorchPythonRustC++CUDA

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid and based in Toronto, San Francisco, or Dallas.

What is the salary for this Research Engineer position?

This information is not specified in the job description.

What skills are required for this role?

Required skills include experience with deep learning frameworks like PyTorch, proficiency in Python, Rust, C++ and/or CUDA, solid understanding of computing fundamentals and code efficiency, plus experience in ML-based or classical planning techniques.

What is the company culture like at Waabi?

Waabi seeks diverse, innovative, and collaborative candidates to join their world-class team, emphasizing an innovative approach to self-driving technology.

What education is required for this position?

An MS/PhD in machine learning, computer science, engineering, or a related field is required, though exceptional Bachelor’s students will also be considered.

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.

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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