AnthropicSan Francisco, CAPerformance Engineer optimizes throughput and robustness of large-scale ML distributed systems by solving novel performance issues. Requires significant software engineering experience at supercomputing scale and interest in ML.
Leads incident response operations for product and engineering, serving as on-call commander to coordinate cross-functional teams, manage communications, and improve processes during high-stakes incidents. Requires 5+ years in incident management with technical depth in infrastructure and cloud systems.
Builds systems and tooling to measure, monitor, and optimize token throughput from GPU infrastructure for OpenAI workloads. Integrates partner compute environments, benchmarks performance, analyzes tokenomics, and develops operational metrics and dashboards. Requires strong distributed systems and infrastructure engineering experience.
Engineers handle hardware and system bring-up for industrial compute, bootstrapping bare metal nodes into schedulable Kubernetes fleet capacity. Requires 5+ years in Linux infrastructure, IaC tools like Terraform/Chef, and debugging boot/provisioning issues.
Designs and operates CI/CD pipelines and release infrastructure for multi-component systems including bootloaders, firmware, and OTA updates. Requires strong automation skills in Python/Bash, Linux expertise, and experience with build systems for embedded/consumer products.
Develops and maintains custom networking operating system firmware for AI supercomputers, integrating Linux kernel, switch ASICs, and control-plane services. Requires deep expertise in SONiC, SAI, routing protocols, and platform bring-up across hardware and software boundaries.