be doing:
Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.
What we need to see:
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
12+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
Proven track record of contributions to scaled Python-based software projects
Ways to stand out from the crowd:
Experience with accelerated server architecture design and deployment, especially up to hyperscale.
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
A love of technology and passion for your work!
You will also be eligible for equity and .
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