Lambda
US - California - San Francisco
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Develop and maintain production systems for GPU fleet lifecycle management and machine configuration. Collaborate across teams to enhance automation frameworks and improve machine lifecycle processes.
Requirements: Candidates should have 6+ years of experience with Go or Python and bare metal hardware management. Familiarity with Linux environments and the ability to troubleshoot complex systems are also required.
Key Skills: Go, Python, Bare Metal Hardware Management, Linux Environments, Troubleshooting, Automation Frameworks, Machine Provisioning, Configuration Management, Debugging, Networking, Firmware, DPU Lifecycle Automation, AI-assisted Development Tools, Kubernetes, Container Orchestration, System Health Monitoring
Benefits: Health Insurance, Dental Coverage, Vision Coverage, Wellness Stipends, Commuter Stipends, 401k Plan, Flexible Paid Time Off
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