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ARCHER designs, develops, and troubleshoots software for GPU cloud infrastructure, focusing on provisioning, health monitoring, diagnostics, and automated incident response. The team leads AI- and ML-driven initiatives, collaborating across departments while mentoring junior engineers to raise operational efficiency and customer satisfaction.
The role emphasizes strong software engineering across cloud platforms, with familiarity in Python, Java, TypeScript, Linux, Docker, APIs, Kafka, and
Design, develop, and troubleshoot software for GPU cloud infrastructure, including GPU provisioning, health monitoring, diagnostics, and automated incident response. Lead AI- and ML-driven initiatives, collaborate across teams, and mentor junior engineers while improving operational efficiency and customer experience.
Requirements: The role calls for strong software engineering expertise and experience with cloud infrastructure, programming, and AI/ML-driven development; the posting does not specify a formal education requirement or a minimum number of years of experience. Familiarity with technologies and practices such as Python, Java, TypeScript, Linux, Docker, APIs, Kafka, and distributed GPU workloads is relevant.
Key Skills: Python, Java, TypeScript, Artificial Intelligence, Machine Learning, GPU Infrastructure, Cloud Infrastructure, Linux, Docker, Kafka, RoCE, InfiniBand, RESTful APIs, Stream Processing, Natural Language Processing, Technical Mentoring
Benefits: