Senior Software Engineer - Fleet

About the role

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. If you're passionate about building the world's best AI cloud, join us.

Responsibilities

• Develop and Maintain Production Systems: Design, implement, and improve software that powers GPU fleet lifecycle management and machine configuration at scale.
• Automate Infrastructure: Build and enhance automation frameworks for machine provisioning, configuration management, and deployment.
• Support New Hardware Introduction (NPI): Enable bring-up, validation, and production readiness for new server and accelerator platforms.
• Enhance Machine Lifecycle Processes: Improve and refine workflows for bare metal provisioning, firmware updates, and system health monitoring.
• Support DPU Lifecycle Automation: Help provision, configure, update, and debug DPUs and programmable network accelerators.
• Debug Hardware and Firmware Issues: Investigate failures across BIOS, BMC, firmware, networking, storage, and boot flows.
• Collaborate Across Teams: Work closely with infrastructure, security, and product engineering teams to develop scalable and maintainable solutions.

Requirements

• 6+ years of experience working with Go (Golang) or Python in production environments.
• 6+ years of experience with bare metal hardware management and configuration.
• Comfortable working in Linux environments and debugging issues at the OS, hardware, and networking layers.
• Independent troubleshooting skills and effective communication across software, infrastructure, and vendor teams.

Qualifications

• Nice to Have: Experience with Go in infrastructure, systems, or backend development; hands-on experience with bare metal provisioning and lifecycle management; experience with DPUs, NVIDIA BlueField, SuperNICs, or other programmable network accelerators; experience diagnosing issues involving drivers, firmware, and hardware compatibility across GPU servers; experience incorporating AI-assisted development tools into engineering workflows; experience building Linux distributions or managing OS customization and imaging; exposure to DPU-adjacent networking, storage, or security technologies; experience with Kubernetes and container orchestration concepts.

Benefits

Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Pay

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Schedule

This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.