Company

LambdaSee more

addressAddressSan Jose, CA
salary Salary$76,680 - $109,080 a year
CategoryInformation Technology

Job description

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. 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.

  • Note: This position requires presence in our San Jose Headquarters 5 days per week.

What You’ll Do

  • Oversee the input, maintenance, and accuracy of data within our ERP system, ensuring accurate records of inventory levels and stock movement, as well as identifying discrepancies
  • Conduct regular audits to ensure data integrity and compliance with established company standards
  • Request and support regular cycle counts of physical inventory to reconcile system data for physical stock
  • Generate reports for inventory and data integrity performance, highlighting areas for improvement
  • Investigate and resolve discrepancies in inventory records by executing proper transactions or escalating to the appropriate owner of the transaction(s) to determine best solution
  • Work closely with warehouse logistics, operations and accounting teams to streamline processes and minimize inventory issues and discrepancies
  • Implement and improve Inventory Control procedures
  • Collaborate with cross-functional teams to identify opportunities for process improvement within our ERP system

You

  • Have proven experience as an Inventory Control Specialist, ERP data controller or have been in a similar role
  • Have a strong understanding of inventory management principles and best practices
  • Have in-depth experience and understanding of ERP systems and their functionalities
  • Are proficient in MS Excel or Google spreadsheets
  • Are committed to maintaining high levels of data accuracy
  • Have excellent organizational and multitasking skills
  • Have strong analytical and problem-solving skills
  • Are an effective communicator and can collaborate with other teams

Nice to Have

  • Experience in the machine learning or computer hardware industry
  • Experience or understanding of Lean Manufacturing Principles
  • Experience with Oracle Netsuite
  • SAP (or equivalent) superuser and/or hands on experience launching ERP system

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 200, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends
  • 401k Plan with 2% company match
  • 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 $76,680-$109,080. 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.

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.

Benefits

Health insurance, Dental insurance, 401(k), Paid time off, Work from home, Vision insurance, 401(k) matching, 401(k) 2% match
Refer code: 8305082. Lambda - The previous day - 2024-02-22 13:52

Lambda

San Jose, CA
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