Waabi

Senior Software Engineer, ML Pipelines, Data & Automation

Toronto, Ontario, Canada

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Autonomous Vehicles, AI & Machine LearningIndustries

Requirements

Candidates must possess a Master's or Bachelor's degree in Computer Science, Machine Learning, or a related technical field, with at least 4 years of industry experience. Proficiency in Python programming and strong software engineering fundamentals, including experience with high-quality, well-structured, and well-tested code, are essential. Experience in data processing pipelines, ETL pipelines, and distributed computing is required, along with an understanding of cloud job orchestration, monitoring, and instrumentation best practices. A collaborative mindset, willingness to help others, and a passion for self-driving technologies and problem-solving are also necessary. Bonus qualifications include experience with autonomous driving data problems, familiarity with linear algebra and 3D geometry, and experience with multimodal sensor data like LiDAR, RADAR, and cameras.

Responsibilities

The Senior Software Engineer will develop data pipelines for training and evaluating Waabi's autonomous platform, enabling the launch of driverless trucks. This role involves working across the ML development lifecycle, including dataset curation, labeling, generation, training, evaluation, and visualization. Responsibilities include generating and working with large datasets from real-world driving and simulation, implementing metrics and tags for model performance analysis, and championing engineering excellence through high-quality code. The engineer will also assist in project roadmap planning, prioritization, and delivery.

Skills

Python
Machine Learning
Data Pipelines
Dataset Curation
Data Labeling
Data Generation
Model Training
Model Evaluation
Data Visualization
Software Engineering
Automation

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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