SDE II, ML Infra Services
Core
Design and implement machine learning infrastructure platforms for capacity management, workload scheduling, and fleet orchestration across ML accelerators.
Role type
Senior IC machine learning infrastructure engineer
Builds
ML accelerator access systems with low wait times, high utilization, and zero-config deployment
Domain
Cloud-scale machine learning infrastructure and custom silicon
Deliverable
production ML models | infrastructure
Required skills
System design and architecture, software development lifecycle, performance profiling and optimization, root cause analysis, CI/CD pipeline implementation, container management, cloud service utilization
Preferred skills
Machine learning tool project leadership, instruction set architecture knowledge (CPU/NPU/GPU), hardware-software integration, large-scale ML workload management
Technologies
AWS Lambda, Big Data, CI/CD, Cloud, Docker, EC2, Hardware Support, Java, JavaScript, Kubernetes, Machine Learning, Python, TypeScript, AI, DevOps
Responsibilities
Design and code solutions to improve software architecture efficiency, create metrics and implement automation, identify and resolve software defects, build high-impact solutions for customers, participate in design discussions and code reviews, collaborate across functions to guide business decisions
Seniority
Senior, hands-on IC