Full-Time
Safety Framework Methods Lead
Confirmed live in the last 24 hours
Waabi
51-200 employees
Develops self-driving technology for trucking
Compensation Overview
$151k - $266kAnnually
Senior
Remote in USA
- Undergrad required; Masters or PhD within an engineering discipline preferred.
- 5+ years of automotive, robotics, aerospace or related industry experience.
- Experience with building a strong safety case for autonomous vehicles.
- Experience with using simulation and real world testing to make readiness decisions.
- Experience with methods and standards such as STPA, SOTIF (ISO 21448) and / or UL 4600.
- Strong fundamentals in mathematics, engineering and physics.
- Ability to communicate complex concepts or data in a simple-yet-accurate manner.
- Excellent data analysis skills with modern tools such as Python or Matlab.
- Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
- Lead and own the creation, documentation, alignment and execution of several safety framework methods that we use at Waabi to make our driverless autonomy readiness decisions.
- Act as a central point of contact at Waabi for all matters related to safety and readiness metrics for driverless autonomy operations and communicate updates, progress and potential roadblocks to stakeholders at all levels.
- Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software.
- Define all necessary improvements for our highly realistic simulator to effectively verify all driving behaviors under all required conditions and work with other teams at Waabi to get these improvements designed and implemented.
- Contribute to the overall concept for how we document and determine our driverless autonomy readiness decisions so that it is thorough and easy to understand.
- Continuously evaluate and enhance Waabi’s safety framework methods, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible.
- Implement tools and methodologies to streamline and automate the safety framework methods where applicable.
- Work with external partners on gathering data and information related to driving behaviors of trucks as well as on supporting a strong safety case for the complete self-driving system.
- As we grow, lead a team of experienced and skilled systems and/or safety engineers and ensure they stay hungry to grow in their roles.
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). Waabi stands out from competitors by utilizing an advanced simulation platform called Waabi World, which allows them to test and refine their self-driving systems in a virtual environment, minimizing the need for extensive real-world testing. This not only cuts costs but also enhances safety and adaptability. The goal of Waabi is to transform the trucking industry by providing technology that reduces operational costs and improves safety for commercial vehicles.
Company Stage
Series A
Total Funding
$82.7M
Headquarters
Toronto, Canada
Founded
2021
6 month growth
↑ 9%1 year growth
↑ 10%2 year growth
↑ 101%
Simplify's Take
What believers are saying
- Waabi's $200M funding round from prominent investors like Uber and Khosla Ventures underscores strong financial backing and growth potential.
- The launch of an AV trucking terminal in Texas and commercial pilots with Uber Freight highlight Waabi's readiness for large-scale deployment.
- Waabi's generative AI technology promises to revolutionize the trucking industry by enhancing safety, reducing costs, and improving operational efficiency.
What critics are saying
- The autonomous vehicle industry is highly competitive, with established players like Tesla and Aurora posing significant challenges.
- Regulatory hurdles and public skepticism around self-driving technology could delay Waabi's commercial deployment.
What makes Waabi unique
- Waabi's use of advanced simulation technology, Waabi World, significantly reduces the need for real-world testing, setting it apart from competitors relying heavily on physical trials.
- The company's AI-first approach, led by AI pioneer Raquel Urtasun, focuses on efficient reasoning and minimal data requirements, unlike Tesla's imitation learning model.
- Waabi's strategic partnerships with industry giants like NVIDIA and Uber provide a robust ecosystem for rapid technological advancements and market penetration.