Full-Time

Senior / Staff Onboard Platform Software Engineer

Posted on 9/11/2024

Waabi

Waabi

51-200 employees

Develops self-driving technology for trucking

Automotive & Transportation
AI & Machine Learning

Compensation Overview

$141k - $242kAnnually

+ Equity Incentive Awards + Annual Performance Bonus

Senior

Toronto, ON, Canada + 2 more

More locations: San Francisco, CA, USA | Dallas, TX, USA

Hybrid role requiring in-office presence.

Category
Embedded Engineering
Software Engineering
Required Skills
Rust
Requirements
  • Minimum of 5+ years of professional software development experience.
  • Undergrad or Masters in Computer Science, Electrical Engineer, Computer Engineering and/or related technical fields.
  • Demonstrated technical leadership experience.
  • Strong technical experience with C, C++ or Rust as well as working experience with a scripting language.
  • Systems programming, high-level network programming, and system-level optimization experience.
  • Experience working with or designing multiple different kinds of software integration frameworks and communication paradigms.
Responsibilities
  • Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
  • Participate in roadmap planning, system design, development, and testing of our high-level software stack for self-driving trucks.
  • Implement and maintain high-level software abstractions used to integrate our autonomy system in real-time on our trucks and in our deterministic simulator.
  • Partner with autonomy software development teams to help them integrate new features.
  • Identify integration patterns that would benefit from new design patterns or framework abstractions.
  • Integrate sensors and optimize data pre-processing latency.
  • Build or integrate performance measurement tools, data recording, and data visualization tools.
  • Develop software according to industry-best practices for safe, reliable and robust code.

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 generates revenue by licensing its technology to trucking companies and OEMs, aiming to transform the trucking industry by lowering operational costs and enhancing safety. The company's goal is to leverage self-driving technology to create a safer and more efficient transportation system.

Company Stage

Series B

Total Funding

$265.9M

Headquarters

Toronto, Canada

Founded

2021

Growth & Insights
Headcount

6 month growth

25%

1 year growth

22%

2 year growth

90%
Simplify Jobs

Simplify's Take

What believers are saying

  • Waabi's $200 million funding round shows strong investor confidence in its technology.
  • Partnership with NVIDIA enhances Waabi's AI-powered autonomous trucking solutions.
  • Waabi's expansion into Texas leverages a favorable regulatory environment for AV deployment.

What critics are saying

  • 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.

What makes Waabi unique

  • Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.
  • The Waabi Driver adapts to any hardware configuration, enhancing flexibility and integration.
  • Waabi's AI-first approach allows efficient reasoning, reducing data and computation requirements.

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