Waabi

Research Engineer, Learnable Planner (Data Engineering)

Toronto, Ontario, Canada

$159,000 – $296,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, Artificial Intelligence, RoboticsIndustries

Requirements

Candidates should possess a Master’s or Doctoral degree in Computer Science, Robotics, or a related technical field, along with demonstrated software engineering experience gained through internships, work experience, coding competitions, or research projects. Experience with data processing pipelines, ETL pipelines, and distributed computing is required, as well as the ability to quickly learn new technologies and collaborate effectively within a team environment.

Responsibilities

As a Research Engineer, you will develop infrastructure for generating data at scale for training and evaluating Waabi’s planner, create mechanisms for data categorization, curation, and cleaning to deliver high-quality datasets, design metrics and evaluation pipelines for understanding autonomy performance, champion engineering excellence through well-structured and tested code, and work with large datasets from various sources including Waabi World, a high-fidelity simulator, while collaborating with a multidisciplinary team to enable safe self-driving at scale.

Skills

Data Processing
ETL pipelines
Distributed computing
Software engineering
Research
Team collaboration
Learning new technologies

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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