Inventory Analyst at Lambda

San Jose, California, United States

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$68,000 – $102,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

Bachelor’s degree or closely related field required
3+ years of progressive experience in materials management, warehouse operations, or supply chain, including leadership exposure
Proven experience with ERP systems (SAP, NetSuite, or equivalent) and warehouse process optimization
Demonstrated success in inventory accuracy programs, layout design, cycle counts, and audit compliance
Strong technical and analytical skills
Knowledge of regulatory frameworks (e.g., FSVP, OSHA, SOX, ISO) strongly preferred
Excellent stakeholder management and communication skills, with the ability to collaborate

Responsibilities

Apply quantitative analysis and process methods to improve inventory accuracy across systems and physical counts
Oversee daily reconciliations and variance resolution, ensuring issues are tracked to closure
Lead root cause analysis of discrepancies and implement corrective/preventive actions
Oversee reconciliation of variances, perform root cause analysis, and implement preventive controls
Maintain SOPs and compliance documentation to meet audit and regulatory requirements (SOX, ISO, FSVP, OSHA)
Manage staging, validation, and documentation of materials to support major data center deployments
Ensure seamless integration between procurement, program teams, and materials workflows to ensure POs, receipts, and compliance are in good standing
Manage post-deployment workflows (return, reuse, decommissioning) with timely system updates and reconciliation
Partner with logistics to ensure timely availability of high-value materials ($10M+ scale) across multiple locations
Oversee entry, validation, and lifecycle management of fixed assets in ERP/financial systems
Ensure accurate accounting of movement, utilization and depreciation of fixed assets through systems-based controls
Lead periodic audits and serve as liaison with finance and compliance stakeholders
Monitor and analyze material consumption trends across data centers to improve demand forecasting and cost control
Provide proactive reporting and insights to guide procurement planning and capacity decisions
Lead cycle count programs and sampling programs at data centers to maintain accuracy and accountability
Develop KPI dashboards (inventory accuracy, spares utilization) for leadership visibility
Leverage Python, SQL, and automation tools to reduce manual processes and improve visibility
Oversee inbound and outbound material movements with proper documentation and system accuracy
Drive best practices in storage design, labeling, and inter-facility transfer processes
Collaborate with warehouse and logistics teams to ensure timely material availability

Skills

Key technologies and capabilities for this role

Inventory ControlERP SystemsRoot Cause AnalysisProcess OptimizationQuantitative AnalysisSOX ComplianceISO ComplianceData ReconciliationFixed Asset TrackingMaterials ManagementWarehouse OperationsData Center Operations

Questions & Answers

Common questions about this position

What is the salary range for the Inventory Analyst position?

The salary range is $68K - $102K.

Is this a remote, hybrid, or on-site role?

This is a hybrid role requiring presence in the San Jose office 4 days per week, with Tuesday designated as the work-from-home day.

What key skills are required for the Inventory Analyst role?

The role requires quantitative analysis, process optimization, data-driven decision making, ERP/systems integration, root cause analysis, and experience with inventory control and fixed asset management.

What is the company culture like at Lambda?

Lambda focuses on building the world's best deep learning cloud with a mission to make compute ubiquitous like electricity, emphasizing hands-on operational execution in a fast-paced AI infrastructure environment.

What makes a strong candidate for this Inventory Analyst position?

Strong candidates will have experience in inventory control, process optimization, data analytics, ERP systems, and cross-functional coordination, with a hands-on approach to driving accuracy and compliance in high-scale operations.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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