Senior Software Engineer, Machine Learning Infrastructure and Quality

What you'll do

• Develop and optimize software for machine learning training, inference, and characterization.
• Build infrastructure, automation, and services to facilitate the validation and qualification of ML technologies.
• Define and measure quality metrics for machine learning technologies across the software stack.
• Develop and implement comprehensive automated test plans across all application layers.
• Apply statistical concepts to validate and perform quality assurance on data and models.
• Drive quality improvements throughout the organization by championing high-quality software development practices.

What we're looking for

• B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
• 5+ years of experience with hardware and/or software development lifecycle processes.
• 5+ years of experience in one or more compiled languages such as C, C++, Objective-C, or Swift.
• Proficiency in one or more scripting languages such as Python, Go, or JavaScript.
• 5+ years of experience using one of the following scripting languages such as Python, Go, or JavaScript (preferred).
• 5+ years of experience working with building Operating Systems (preferred).
• Experience with Machine Learning, its common practical applications, and commonly used frameworks.
• Proven understanding of Operating System concepts and ability to craft, maintain, and implement test plans across all application layers.