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 Compliance Analyst to help ensure our hardware asset lifecycle–from procurement through deployment to end-of-life—meets key regulatory and internal control standards. This role will play a vital part in supporting audits, improving control maturity, and driving policy alignment with frameworks like SOC2, ISO 27001, and SOX.
What You’ll Do
Partner closely with stakeholders in Supply Chain, Manufacturing, Security, IT, Accounting, and Data Center Operations to identify and manage risk, build scalable controls, and maintain audit readiness across the supply chain.
Develop and maintain policies and procedures governing hardware asset management, data disposal, inventory tracking, and vendor compliance.
Monitor and assess compliance with SOC 2, ISO 27001, and SOX requirements across supply chain and data center operations.
Establish KPIs to track and improve control effectiveness, ensuring integration with financial and operational planning.
Support internal and external audits by collecting evidence, mapping controls, and tracking remediation efforts. Partner with Accounting, GRC, Legal, Security, Engineering, and Data Center Operations teams to align supply chain and manufacturing processes with enterprise risk and compliance programs.
Drive process improvements, automation, and documentation to increase control reliability and reduce audit friction.
Perform risk assessments across procurement, logistics, and end-of-life processes; track and escalate findings as needed.
Assist with vendor due diligence and compliance monitoring for third-party suppliers and service providers.
Work with functional stakeholders to manage business process and technology roadmaps in support of a long-term strategy.
Ability to lead cross-functional initiatives and drive collaboration between supply chain, operations, and technology teams.
Excellent problem-solving, project management, and stakeholder engagement skills.
Deep experience in risk management (identifying process gaps, assessing compliance risks, and driving risk mitigation strategies.
You
Bachelor’s or Master’s degree in Business, Supply Chain, Information Systems, or a related field. Certifications like CISA, CISM, or ISO Lead Auditor are a plus.
3+ years of experience in compliance, supply chain operations, process improvement, or internal audit–ideally within hardware-intensive or tech infrastructure companies.
Strong understanding of SOC2, ISO 27001, SOX, or similar control frameworks.
Experience working with supply chain systems such as ERP, WMS, QMS, or asset tracking systems.
Familiarity with hardware lifecycle management, from sourcing through disposal.
Strong analytical and communication skills, with the ability to distill complex compliance issues into actionable insights.
Attention to detail and the ability to manage multiple priorities in a fast-paced environment.
Nice to have
Experience in data center environments or hyperscale infrastructure
Knowledge of secure data destruction policies and ITAD vendor management
Exposure to asset finance or lease compliance controls.
Understand full asset life cycle and asset depreciation.
Experience with data analytics, automation, and AI-driven supply chain solutions.
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 $82,000 to $119,000. 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, ~350 employees (2024) 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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