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.

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

*Note: This position requires presence in our San Jose office location 5 days per week

About the Role

We have an immediate need for a Workstation and Server Repair Technician with solid knowledge of servers and troubleshooting. In this role, you will have the opportunity to build. Plan and lay out work to meet production and schedule requirements Provide production, progress, or changeover reports to supervisors Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures. The role is extremely important to maintain Lambda’s commitment to excellent customer service and maintain its high approval rating. We are looking for passionate, dedicated technicians who love what they do and can provide excellent testing support.

What You’ll Do

• Troubleshoot and repair Lambda products

• Perform functional test on Workstations and Server hardware

• Track all support tickets and update the tickets real time

• Report any defective parts to RMA/Repair Database

• Ensure all products conform to current MFG Quality Standards

• Follow all applicable work instructions to perform testing and repair processes.

• Onsite customer support service as needed

• Any other manufacturing floor tasks that may be assigned

You

• Have an excellent track record working in computer manufacturing or similar role

• Have server manufacturing experience (hardware integration i.e. CPU and other hardware components)

• Are capable of performing mechanical and electrical assembly including cable routing and wiring

• Are capable of standing for long periods of time

• Are adaptable and flexible to changes as needed

• Can work cross-functionally with other groups

• Can maintain a clean and safe work environment

• Are organized and detail-oriented

• Are a team player and a reliable colleague with dependable work ethic

• Have great verbal and written communication skills

Nice to Have

• 2+ years experience in related field or completed/enrolled in certificate or degree programs such as Computer Electronics and Networking Technology, Engineering, Computer Science, Information Technology

• Excel at troubleshooting computer and electro-mechanical systems including use of testing equipment and tools

• Computer skills and networking / IT knowledge, Linux and command line interface knowledge desirable

• Ability to read and interpret diagrams

• Familiarity with manufacturing quality systems

Salary Range Information

This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, an hourly rate 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, 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.