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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:
1. Establishing and managing product compliance requirements and maintaining FDA-compliant FSVP program
2. Developing SOPs across departments and overseeing training and implementation; reducing overhead costs and establishing company benchmarks for process improvement and quality control
3. Identifying and formulating KPIs and clarifying management objectives
4. Validating new operational processes using statistical regression models; partnering cross-functionally to align procurement, production, and demand planning
5. 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
- We offer generous cash & equity compensation
- 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
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.