Lambda에서 RMA Technician을 채용합니다. 주요 업무는 서버 하드웨어 문제 해결 및 수리, 기능 테스트 수행입니다. 컴퓨터 제조 경험과 기계/전기 조립 능력이 필수입니다. 산호세 사무실로 주 5일 출근해야 합니다. Linux 및 네트워킹 지식이 있으면 우대합니다.
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
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.
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
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
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
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.
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
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.
