About the position
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.
Responsibilities
- Develop, implement, and maintain QA processes specific to hardware manufacturing.
- Perform comprehensive hardware validation, including functional, performance, stress, and environmental testing.
- Write and maintain scripts (preferably in Python) to automate and improve QA testing processes.
- Manage PXE server setups for hardware deployment and testing environments.
- Conduct GPU stress testing, CPU performance evaluations, and validation of other hardware components.
- Create detailed and comprehensive documentation for all hardware validation processes and outcomes.
- Collaborate with design, engineering, and production teams to identify, troubleshoot, and resolve product issues early in the development and manufacturing lifecycle.
- Oversee quality standards across the supply chain, working closely with vendors and suppliers.
- Conduct failure analysis and recommend corrective and preventive actions to enhance product reliability.
- Perform regular audits of manufacturing processes to ensure adherence to quality standards.
- Drive root cause analysis for production issues and lead continuous improvement initiatives.
Requirements
- Have experience with Python scripting for QA automation and improvement.
- Have hands-on experience with PXE server management and deployment.
- Are skilled in GPU stress testing, CPU performance testing, and hardware validation techniques.
- Possess a keen understanding of hardware manufacturing processes and quality assurance methodologies.
- Can create detailed documentation for validation procedures and outcomes.
- Are familiar with ISO standards, regulatory compliance, and industry best practices.
- Have excellent analytical, problem-solving, and troubleshooting skills.
- Communicate effectively and work well in cross-functional teams.
Nice-to-haves
- Experience in vendor management and supply chain quality control.
- Knowledge of statistical process control (SPC), failure mode and effects analysis (FMEA), and root cause analysis techniques.
- Certifications such as Six Sigma, Certified Quality Engineer (CQE), or similar.
- Familiarity with large language models (LLMs) and their applications in QA processes.
- Experience with additional scripting languages or automation tools.
Benefits
- Generous cash & equity compensation
- 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
