Software Engineer, Evaluation Infrastructure

🕒 March 26

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Waabi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🚗 Transport

🤖 Artificial Intelligence

🔧 Hardware

💰 Venture Round on 2023-01

Transport • Artificial Intelligence • Hardware

Waabi is a company at the forefront of autonomous trucking technology. Led by AI and self-driving pioneer Raquel Urtasun, Waabi uses advanced Generative AI to develop scalable and safe self-driving solutions. The Waabi Driver, their cutting-edge product, blends an end-to-end trained AI stack with an interpretable architecture, facilitating OEM integration and large-scale commercialization. Waabi World, their highly advanced simulation engine, offers a realistic and immersive environment that accelerates the development and deployment of self-driving technology by reducing the reliance on extensive real-world testing. With partnerships and a visionary approach, Waabi aims to revolutionize logistics and supply chain industries.

📋 Description

• Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale. • Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation. • Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data • Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator. • Champion engineering excellence, ensuring high-quality, well structured and tested code. • Assist in project roadmap planning, prioritisation, and delivery.

🎯 Requirements

• MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code. • Open-minded and collaborative team player with the willingness to help others. • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. • Bonus Points: • Experience in data processing pipelines, ETL pipelines, distributed computing. • Experience in building highly reliable and scalable web services • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices. • Experience in evaluating complex ML models or self-driving software stacks.

🏖️ Benefits

• Competitive compensation and equity awards. • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). • Unlimited Vacation. • Flexible hours and Work from Home support. • Daily drinks, snacks and catered meals (when in office). • Regularly scheduled team building activities and social events both on-site, off-site & virtually. • As we grow, this list continues to evolve!