Senior Software Engineer, Evaluation Infrastructure

Summary

Waabi is a technology start-up building technologies to transform the way the world moves. The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate the autonomy system’s performance, and the role involves developing infrastructure for statistical analyses and collaborating with various teams to support autonomous vehicle development.

Responsibilities

• 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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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.