Software Architect
CrowdboticsFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The US yearly salary range for this role is $158,000 - $269,000 USD in addition to competitive perks & benefits.
This information is not specified in the job description.
Strong software engineering fundamentals with proven experience architecting and refactoring complex production systems, demonstrated excellence in API design for developer-facing tools and frameworks, and passion for software craftsmanship including code quality, API ergonomics, and developer experience are required. Proficiency in Python and Rust is needed to build robust systems.
Waabi features a world-class team with a multidisciplinary approach including research scientists and software engineers, emphasizing innovative, collaborative, diverse candidates who impact the world positively, and championing engineering excellence.
Candidates with strong software engineering fundamentals, experience architecting complex systems, excellence in API design, and a passion for code quality and developer experience stand out. Bonus experience in self-driving, simulation, ML frameworks like PyTorch, or related fields is highly valued.
Develops self-driving technology for trucking
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.