Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Proven experience in designing, developing, and operating distributed systems at scale, with an in-depth understanding of the challenges and opportunities in this space Experience of software and network debugging, profiling, and instrumentation techniques to ensure optimal system performance Experience designing and maintaining automated testing infrastructure to ensure the quality and reliability of our systems Knowledge of IB/RDMA/RoCE networks, including RDMA congestion control mechanisms, AI training workloads and the demands they exert on networks 6+ years of experience building software solutions for managing network infrastructure, with a focus on scalability and reliability Track record of improving on-call health and engineering efficiency metrics across a production engineering or infrastructure team Familiarity with network protocols and distributed systems concepts relevant to large-scale production environments Experience with software-defined networking, network automation frameworks, or network observability tooling at scale Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience integrating AI or machine learning tools into engineering workflows to drive measurable efficiency or quality improvements Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
$184,000/year to $257,000/year + bonus + equity + benefits