Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
We’re looking for a Supply Chain Solutions Architect to design, implement, and optimize supply chain processes. This role drives S&OP excellence, fosters continuous improvement, and enhances operations through cross-functional collaboration. As an SME and key liaison, the candidate will lead the development of innovative tools, systems, and automation to boost efficiency and support long-term growth.
What You’ll Do
Define, standardize, and optimize end-to-end supply chain processes, ensuring agility, scalability, and efficiency.
Lead and implement an effective S&OP framework, ensuring alignment across demand planning, supply planning, inventory management, and fulfillment strategies.
Develop data-driven insights to support executive decision-making in balancing supply and demand.
Establish KPIs to track and improve S&OP effectiveness, ensuring integration with financial and operational planning.
Identify bottlenecks, inefficiencies, and opportunities for automation, leveraging Lean, Six Sigma, and other CI methodologies to drive continuous improvement.
Implement best practices in procurement, inventory management, logistics, and order fulfillment to improve cost efficiency and service levels.
Act as a liaison and SME to collaborate with business technology teams on the development and implementation of supply chain tools, automation, and digital solutions.
Support the selection, integration, and enhancement of ERP, WMS, QMS, PLM and other supply chain systems to improve operational efficiency.
Partner with internal stakeholders to define system requirements, optimize workflows, and drive adoption of new tools and technologies.
Work with functional stakeholders to manage business process and technology roadmaps in support of a long-term strategy.
Collaborate with IT, engineering, and data analytics teams to develop scalable technology solutions that improve forecasting, demand planning, and supplier collaboration.
You
Bachelor’s or Master’s degree in Supply Chain Management, Operations, Business, Engineering, or a related field.
10+ years of experience in supply chain planning, operations, or solutions architecture, with a strong track record of process improvement.
Expertise in S&OP, demand/supply planning, and inventory management best practices.
Strong experience with ERP (NetSuite, SAP, Oracle, etc.), WMS, PLM, and analytics tools.
Ability to lead cross-functional initiatives and drive collaboration between supply chain, operations, and technology teams.
Experience with data analytics, automation, and AI-driven supply chain solutions is a plus.
Excellent problem-solving, project management, and stakeholder engagement skills.
Experience in cloud or infrastructure procurement, deployment, and accounting processes.
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $115,000 to $165,000. 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.
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What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
