Lambda
US - California - San Jose
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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. Comfort in Linux environments and the ability to troubleshoot complex systems are essential.
Key Skills: Go, Python, Bare Metal Hardware Management, Linux, Troubleshooting, Automation, Networking, Firmware, Debugging, DPU Lifecycle Automation, Machine Configuration, Infrastructure, Cloud Engineering, System Health Monitoring, Kubernetes, Container Orchestration
Benefits: Health Insurance, Dental Coverage, Vision Coverage, Wellness Stipends, Commuter Stipends, 401k Plan, Flexible Paid Time Off
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