Supply Planner Job at Lambda

Lambda San Jose, CA 95131

$90,000 - $135,000 a year

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

About the Role

We are looking for a highly-driven Supply Planner to join our Supply Chain team. As a Supply Planner, you will play a critical role in ensuring operational success for the Procurement organization. In this role, you will be responsible for materials readiness, availability, and visibility. This is a strategic supply chain role, interacting with our vendors and internal core teams, encompassing critical component planning, allocation direction, supply flexibility modeling, and materials liability management.

What You’ll Do

  • Manage purchasing and material availability of various raw materials required to support production activities
  • Coordinate and own materials planning, fulfillment and logistics for raw materials from purchase order through point of delivery
  • Manage master planning, material processes and systems, prepare and update production schedules and purchasing needs
  • Ensure operational alignment with production plan and KPIs
  • Generate and implement process improvements for optimal efficiency and effectiveness of material flow following lean methodology
  • Conduct daily walks on the “Gemba” to investigate and resolve material issues
  • Support material transfers and supplier reviews with the Supply Chain team
  • Visit suppliers as needed - internal and external
  • Manage Phase In/Phase Out (PIPO/NPI) to minimize obsolete material
  • Provide supply analysis data and recommendations as necessary

You

  • Have a Bachelor’s Degree in Supply Chain Management or related field (or 4 years of related experience in manufacturing/planning)
  • Have experience in supply planning or inventory management
  • Are proficient in basic mathematics
  • Are proficient in Google Sheets/Microsoft Excel
  • Have a collaborative attitude and willingness to learn

Nice to Have

  • Experience in the machine learning or computer hardware industry
  • 2+ years of supply chain experience
  • SQL, ERP & Planning software experience (Netsuite in particular)
  • APICS certification
  • Lean manufacturing experience

About Lambda

  • We offer generous cash & equity compensation
  • Investors include Gradient Ventures, Google’s AI-focused venture fund
  • 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
  • We have a wildly talented team of 130, and growing fast
  • Our remote workforce, based on role, is across the U.S., with headquarters in San Jose, CA
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends
  • 401k Plan
  • Flexible Paid Time Off Plan that we all actually use

Salary Range Information

Based on market data and other factors, the salary range for this position is $90,000-$135,000. 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.

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.

Lambda, Inc. is a federal contractor that is subject to the COVID-19 vaccination requirements of Executive Order 14042. Because this position is covered by Executive Order 14042, all newly hired employees in this role must be fully vaccinated, unless subject to an approved disability or religious accommodation.

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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