Full-stack Engineer

• Develop GPU-accelerated software targeted for real-time analysis on a DNA sequencing instrument
• Implement neural network algorithms on GPU, optimized for our unique characteristics of very high throughput and model types
• Be proficient in C++ and CUDA, and have familiarity in Python for modeling-related tasks
• Self-motivation to individually research and design solutions for complex technical problems
• Author dependable, readable, maintainable, and well-structured code, and encourages best practices with the team

GPU Software Engineer

Lead Software Engineer, Data Platform

Senior Software Engineer, Data Platform

Principal Software Engineer, Data Platform

Staff Software Engineer, Consumer

VR Software Engineer