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Staff Software Engineer Cloud Infrastructure

Tenstorrent · Posted 113 days ago

RemoteUnited StatesENTPINTJINTPISTJEngineeringOperations
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About the Role

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We're looking for a Staff Software Engineer with a platform infrastructure / Site Reliability Engineering (SRE) background to join us to work on infrastructure automation, integration, and operations. Work covers backend development, service integrations, infrastructure-as-code, and site reliability engineering aspects. Adjacent experience up or down the stack is also highly valuable. This role is hybrid OR remote, based out of the United States or Toronto. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are • Fluent in Python, Infrastructure-as-Code (Ansible), shell scripting, Linux SysOps, and CI/CD. • DevOps mindset with experience in software integrations and operational infrastructure. • Experienced in observability, including hardware, system, and application level telemetry, monitoring, and alerting (Prometheus, Loki, Alloy, Grafana, Sentry, SNMP, Redfish, IPMI). • Familiarity with Bare Metal, Virtual Machine and Kubernetes provisioning and operations. • Neocloud / CSP background is a plus. What We Need • Hands-on software engineering to

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Job ID: affb6050-b54b-4b84-8e05-bc1f9f49e487

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