Manufacturing QA Hardware Validation Engineer

Lambda; San Jose (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

An innovative firm seeks a Manufacturing QA Hardware Validation Engineer to enhance hardware quality assurance processes. This role involves developing and implementing QA strategies, performing rigorous hardware validation, and collaborating with cross-functional teams to ensure product excellence. With a focus on automation and documentation, you'll drive improvements in manufacturing standards. Join a dynamic team dedicated to building the future of AI computing, where your contributions will have a significant impact on product reliability and performance.

Benefits

Health, dental, and vision coverage

Commuter/Work from home stipends

401k Plan with 2% company match

Flexible Paid Time Off Plan

Generous cash & equity compensation

Qualifications

• Experience with Python for QA automation.
• Hands-on experience with PXE server management.
• Skilled in hardware validation techniques.

Responsibilities

• Develop and maintain QA processes for hardware manufacturing.
• Perform comprehensive hardware validation and testing.
• Collaborate with teams to resolve product issues.

Skills

Python scripting

GPU stress testing

CPU performance testing

hardware validation techniques

analytical skills

problem-solving

Tools

PXE server management

Job description

Manufacturing QA Hardware Validation Engineer

Join to apply for the Manufacturing QA Hardware Validation Engineer role at Lambda

Manufacturing QA Hardware Validation Engineer

Join to apply for the Manufacturing QA Hardware Validation Engineer role at Lambda

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This range is provided by Lambda. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $130,000.00/yr

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.
  
  

What You’ll Do

• 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.
  
  

You

• 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 Have

• 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.
  
  

Salary Range Information

Based on market data and other factors, the annual salary range for this position is$100,000-130,000. 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.

Compensation Range: $100K - $130K

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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