Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
If you'd like to build the world's best deep learning cloud, join us.
As the AI Infrastructure Deployment Lead, you’ll be responsible for planning, coordinating, and executing the deployment of large-scale AI infrastructure across Lambda’s data centers and customer sites. You’ll lead cross-functional technical teams to design resilient network topologies, oversee rack-level integration, and ensure smooth delivery of compute environments optimized for large-scale training workloads.
This role combines hands-on technical expertise with strategic project leadership — ideal for engineers who thrive at the intersection of hardware, networking, and systems design.
What You’ll Do
Infrastructure Deployment
Lead end-to-end deployment of GPU clusters, storage systems, and networking fabric across Lambda’s data centers.
Design and implement data center network topologies optimized for AI and HPC workloads, including high-speed Ethernet and InfiniBand environments.
Oversee rack implementation, cabling, and power/cooling validation for optimal efficiency and scalability.
Collaborate with supply chain, logistics, and operations teams to ensure smooth delivery and installation timelines.
Network Engineering
Implement Layer 2/Layer 3 networks, including VLANs, Spine to Leaf architecture, Infiniband interconnect technology.
Partner with network architects to ensure redundancy, scalability, and low-latency interconnects for distributed AI workloads.
Monitor network health, identify bottlenecks, and implement optimizations to maintain peak performance.
Hardware & Systems Management
Oversee server hardware troubleshooting, including GPUs, NICs, CPUs, and storage components.
Lead root-cause analysis for system issues and drive corrective actions in collaboration with vendors and internal hardware teams.
Develop standard operating procedures (SOPs) for hardware validation, deployment, and maintenance.
Technical Project Leadership
Serve as technical project lead for infrastructure rollouts and cluster expansion projects.
Coordinate cross-functional teams — networking, facilities, cloud operations, and hardware engineering — to execute deployments on schedule.
Manage project scope, budgets, risk assessments, and post-deployment reviews.
Communicate status, challenges, and milestones to leadership with clarity and precision.
Documentation & Continuous Improvement
Maintain detailed network topology diagrams, deployment runbooks, and hardware inventories.
Identify opportunities for process automation and infrastructure standardization across deployments.
Contribute to Lambda’s internal knowledge base and mentor junior engineers on data center best practices.
What You’ll Bring
Required:
Bachelor’s degree in Computer Engineering, Information Technology, or related field.
CCNA (Cisco Certified Network Associate) certification (CCNP or equivalent a plus).
PMP (project Management Professional) Certification (PMP or equivalent a plus).
5+ years of experience in data center infrastructure deployment or network operations, preferably in AI, HPC, or cloud environments.
Proven ability to lead complex technical projects and manage multidisciplinary teams.
Strong understanding of data center network design (Layer 2/3, VLAN, Rack elevations, port mapping, Infiniband technologies.
Hands-on expertise in server hardware troubleshooting and rack-level integration.
Preferred:
Experience deploying or managing GPU clusters and distributed training environments.
Familiarity with automation and orchestration tools (Ansible, Terraform) and monitoring systems (Prometheus, Grafana).
Knowledge of structured cabling, power distribution, and environmental monitoring in data centers.
Excellent communication and documentation skills.
Salary Range Information
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.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
Wellness and Commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible Paid Time Off Plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
