{"id":3626126,"url":"https://alion.io/job/lambda-materials-lead","title":"Materials Lead","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Administrative","role_family":"Administrative","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":122158,"max":204000,"currency":"USD","period":"year","gross":null,"usd_annual":204000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"CAPA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-10-30T18:59:42Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-06T18:30:43Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"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.\nIf you'd like to build the world's best AI cloud, join us.\nLambda, 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.\nWhat You’ll Do\nCollaborate with the Logistics department to improve productivity and ensure timely availability of high-value materials ($10M+ scale).\n\nDevise methods for improving utilization of materials and oversee daily reconciliations and variance resolution, ensuring production problems or other issues are resolved.\n\nLead 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.\n\nMaintain standard operating procedures and compliance documentation to meet audit and regulatory requirements (SOX, ISO, FSVP, OSHA).\n\nManage post-deployment workflows (return, reuse, decommissioning) with timely system updates and reconciliation.\n\nOversee 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.\n\nEnsure accurate accounting of movement, utilization and depreciation of fixed assets through systems-based controls.\n\nProvide proactive reporting and insights to guide procurement planning and capacity decisions.\n\nDevelop 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.\n\nLeverage Python, SQL, and automation tools to reduce manual processes and improve visibility.\n\nPresent analysis and cross-functional reports and other communication to management and internal stakeholders.\n\nTelecommuting allowed for this position.\n15-20 % domestic travel fully reimbursed by employer.\nYou\nMaster’s or foreign equivalent to Industrial Engineering, Systems Engineering, or related field.\n\nMust have 2 years of experience in job offered or related occupations.\n\nMust have at least 1 year of prior work experience in each of the following:\nEstablishing and managing product compliance requirements and maintaining FDA-compliant FSVP program\n\nDeveloping SOPs across departments and overseeing training and implementation; reducing overhead costs and establishing company benchmarks for process improvement and quality control\n\nIdentifying and formulating KPIs and clarifying management objectives\n\nValidating new operational processes using statistical regression models; partnering cross-functionally to align procurement, production, and demand planning\n\nFormulating and mapping department processes using the ARIS enterprise modeling approach to promote operational efficiency and preparing management reports recommending solutions.\n\n#LI-DNI #LI-NDI #LI-DNP\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur 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\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. 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