Senior Staff+ Software Engineer, Node Infra

initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Bachelor’s degree or equivalent in a field relevant to the role Preferred qualifications 8+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large-scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems Compensation Annual salary: £325,000 - £485,000 GBP Benefits Competitive compensation and benefits package Optional equity donation matching Generous vacation and parental leave Flexible working hours Lovely office space in San Francisco #J-18808-Ljbffr