Back End engineer - Palo Alto
8 hours ago

Job summary
Design APIs that abstract complex GPU operations into simple developer experiences Build scheduling algorithms that maximize GPU utilization while ensuring SLA compliance Develop resource management systems for GPU lifecycle—provisioning allocation scheduling and release Create usage tracking and billing systems for GPU-hours memory usage and compute utilization Implement monitoring for GPU-specific metrics health checks and automatic failure recovery Build multi-tenancy systems with resource isolation quota management and fair scheduling Optimize cold starts for model serving implement efficient model loading strategies Collaborate with frontend engineers to expose complex infrastructure through intuitive interfaces You’ll thrive here if you Have 5+ years backend engineering experience with distributed systems Strong proficiency in Go Python or similar backend languages Experience with resource scheduling orchestration and API design REST GraphQL gRPC Understanding of hardware constraints system optimization Linux systems knowledge containerization experience Docker Kubernetes Comfortable working with expensive resources where efficiency directly impacts costs Excited about solving novel problems in AI infrastructure not just another CRUD app Startup mindset comfortable with ambiguity rapid iteration Knowledge of Mandarin Bonus qualifications GPU or HPC cluster management experience Understanding of ML-AI workload patterns requirements Experience high-value resource allocation systems Background performance optimization compute-intensive workloads Familiarity gpu virtualization sharing technologies Experience building billing metering sys-tems.
Job description
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