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Job Description
- Lead the design and end-to-end software delivery of specialized AI compute platforms, ensuring high availability for massive-scale workloads.
- Establish observability and hardening strategies for the lower-half software stack, including firmware, and hardware qualification.
- Architect robust integration interfaces between custom compute topologies and industry-standard workload schedulers like Kubernetes and GKE.
- Architect secure boot and cryptographic remote attestation flows for distributed hardware platforms.
- Partner closely with hardware engineering and chip design teams to influence future architectures for large-scale deployment.