Quality Assurance Engineer - Machine Learning

July 3

🔄 Hybrid – Vancouver

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Sanctuary AI

Creating human-like intelligence in general-purpose robots

AI • Cognition • Computer Vision • Machine Learning • Robotics

51 - 200

Description

• The Quality Assurance Engineer will handle the vital responsibility of helping construct, evolve, and accelerate the capabilities of a system designed to support Sanctuary’s mission. • You will gain a comprehensive understanding of our existing systems and component testing process and iterate upon it to improve our performance in software testing, integration, and the ability to bring our robotic hardware platform to life.

Requirements

• Degree in Engineering or other technical discipline (Computer, Mechatronics, Robotics, Electrical, etc.) or equivalent work experience required. • 1-2 years of hands-on experience with software-driven hardware systems. • Experience developing and executing test scenarios and supporting data collection. • Proven ability to write scripts and perform process automation for repeatable testing. • Ability to work in a multidisciplinary team environment, including research scientists, hardware, electrical, and software engineers. • Experience dealing with big data, noisy data, and nondeterministic/stochastic systems, including understanding of data quality.

Benefits

• Gain cutting-edge career experience with product level testing and validation towards delivering the world’s first human-like intelligence in general purpose robots. • Achieve company-wide visibility as you work with leaders to ensure the product level requirements are met, to continually push the boundaries of the systems capabilities forward. • Expand your experience as you develop a user-level understanding of advanced modern robotics and human-like intelligence systems.

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