Skip to content
Lambda

Materials Lead

San Jose Office (Zanker)Hybrid · United States
Staff · FullTime · Data Center Business
POSTED 30 OCTVERIFIED 8H AGO
Apply Ask
Pay · posted
$122k–204k
mkt median $214k
Open for
5d
since 30 Oct
H-1B · FY26
13
certified LCAs
Hiring · 30d
95
+2 net · open roles
PythonSQL

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Lambda, Inc seeks a Materials Lead in San Jose, CA to be responsible for improving inventory accuracy across systems and physical counts by applying quantitative analysis and process engineering methods.

What You’ll Do

Collaborate with the Logistics department to improve productivity and ensure timely availability of high-value materials ($10M+ scale).

Devise methods for improving utilization of materials and oversee daily reconciliations and variance resolution, ensuring production problems or other issues are resolved.

Lead root cause analysis of discrepancies and implement corrective and preventive actions (CAPA). CAPA is a structured method for identifying, correcting, and preventing quality issues. CAPA helps teams get to the root cause of problems.

Maintain standard operating procedures and compliance documentation to meet audit and regulatory requirements (SOX, ISO, FSVP, OSHA).

Manage post-deployment workflows (return, reuse, decommissioning) with timely system updates and reconciliation.

Oversee entry, validation, and lifecycle management of fixed assets in enterprise resource planning (ERP) systems. ERP is a type of software that integrates key business processes, such as finance, manufacturing, and supply chain management, into a cohesive system. ERP helps streamline operations, improve efficiency, and provide better visibility into business performance.

Ensure accurate accounting of movement, utilization and depreciation of fixed assets through systems-based controls.

Provide proactive reporting and insights to guide procurement planning and capacity decisions.

Develop key performance indicator (KPI) dashboards (inventory accuracy, spares utilization) for leadership visibility and develop manufacturing methods and drive best practices in storage design, labeling, and inter-facility transfer processes.

Leverage Python, SQL, and automation tools to reduce manual processes and improve visibility.

Present analysis and cross-functional reports and other communication to management and internal stakeholders.

Telecommuting allowed for this position.

15-20 % domestic travel fully reimbursed by employer.

You

Master’s or foreign equivalent to Industrial Engineering, Systems Engineering, or related field.

Must have 2 years of experience in job offered or related occupations.

Must have at least 1 year of prior work experience in each of the following:

Establishing and managing product compliance requirements and maintaining FDA-compliant FSVP program

Developing SOPs across departments and overseeing training and implementation; reducing overhead costs and establishing company benchmarks for process improvement and quality control

Identifying and formulating KPIs and clarifying management objectives

Validating new operational processes using statistical regression models; partnering cross-functionally to align procurement, production, and demand planning

Formulating and mapping department processes using the ARIS enterprise modeling approach to promote operational efficiency and preparing management reports recommending solutions.

#LI-DNI #LI-NDI #LI-DNP

About Lambda

Founded in 2012, with 500+ employees, and growing fast

Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

Our values are publicly available: https://lambda.ai/careers

Source · LambdaFirst seen 2 Nov1 editsOriginal ↗