6 months ago
Base Salary
$230k - $395k/yr
Responsibilities
- Develop and maintain production software for fleet lifecycle management, machine configuration, and cluster state at scale.
- Automate cluster provisioning and deployment from logical design and racking through operating-system provisioning, configuration, validation, and customer hand-off.
- Support bring-up and production readiness for new server, accelerator, network platforms, and datacenter sites.
- Improve bare-metal provisioning, firmware and DPU updates, imaging, and fleet health-monitoring workflows.
- Build reconciliation systems that detect configuration drift and maintain consistent, healthy fleet state and production SLAs.
- Debug failures involving BIOS, BMC, firmware, DPUs, networking, storage, and boot flows.
- Lead technical design for medium-to-large features and collaborate with datacenter operations, networking, architecture, security, and product engineering teams.
Requirements
- 5+ years of engineering experience.
- Fluency in Python, Go, or a similar language, with comfort using APIs, distributed systems, and automation pipelines.
- Strong Linux experience and the ability to debug across operating-system, hardware, and networking layers.
- Experience owning production systems with real SLAs.
- Ability to lead technical design, align stakeholders, and deliver features from ambiguous requirements.
- Preferred experience with AI or ML infrastructure, hyperscale compute, bare-metal provisioning, PXE, Redfish, IPMI, BMC, DHCP, DNS, datacenter infrastructure, GPU-server hardware compatibility, DPUs, NetBox, DCIM tooling, Linux distributions, OS imaging, Ansible, Kubernetes, and AI-assisted development tools.
Benefits
- Annual salary range is provided in the posting, with compensation potentially varying based on qualifications; the exact range is not specified.
- Generous cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off plan.
- Requires presence in the San Francisco, San Jose, or Bellevue office four days per week, with Tuesday designated as the work-from-home day.
Tech Stack
Categories
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.