Guiding the fundamental design, architecture, and implementation of modeling software used to define datacenter-scale accelerated computing platforms
Promoting modern software architecture design patterns and tools to speed up development, boost performance, and improve code quality for the team
Implementing industry-leading software and dev-ops standard methodologies tailored for rapidly growing teams, encouraging a culture of continuous improvement and innovation
Making hands-on and significant contributions to a business-critical codebase, directly impacting cloud and datacenter technologies
Requirements
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
5+ years of development experience with scaled Python-based projects, demonstrating strong software engineering and analytical skills
Excellent interpersonal skills with a track record of success contributing within multi-discipline teams
Familiarity with system architecture and modeling, especially performance, power, or cost of distributed systems
Experience with hyperscale accelerated server architecture design and deployment
Background in parallel computing, server architecture, or datacenter design
An excitement and curiosity about the future of accelerated computing and AI
Expertise in data analysis and visualization, especially pandas and associated technologies
Benefits
equity
benefits
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Applicant Tracking System Keywords
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Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in Electrical EngineeringMaster's degree in related fields