Warehouse Associate
Lambda
In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Jose office location 5 days per week.
We are looking for a detail-oriented and dependable Warehouse Associate to join our Materials team and support the day-to-day execution of warehouse operations. This role is critical to ensuring timely and accurate material movement, inventory handling, and process adherence across our facility. You’ll work closely with the Materials Manager and collaborate with cross-functional teams including Logistics, DC Ops, and Quality Control.
What You’ll Do
Perform receiving, putaway, picking, packing, and shipping of inventory
Handle material movement across designated areas in line with process standards
Conduct regular cycle counts and support physical inventory audits
Ensure accurate transactions within the ERP system (NetSuite or equivalent)
Assist in preparing materials for outbound deployments and internal transfers
Maintain clean, organized, and safe workspaces in compliance with safety protocols and 5S standards
Follow established SOPs and escalate issues when necessary
Collaborate with the team to continuously improve warehouse processes and efficiency
Support documentation, labeling, and compliance requirements for high-value inventory
You
2–3 years of experience in warehouse or logistics operations preferred
Familiarity with inventory management systems and ERP software (NetSuite a plus)
Basic knowledge of Microsoft Office Suite (Excel, Word, Powerpoint)
Ability to lift up to 50 lbs and operate warehouse equipment (e.g., pallet jacks, forklifts)
Strong attention to detail and commitment to accuracy
Good communication skills and ability to work collaboratively in a fast-paced environment
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Willingness to travel occasionally between nearby warehouse or data center locations (if needed)
Salary Range Information
Based on market data and other factors, the hourly salary range for this position is $25 to $35. 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.
About Lambda
Founded in 2012, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
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
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible Paid Time Off Plan that we all actually use
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.
