Datacenter Quality Engineer - Global Rack & Site Ops

OpenAI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading AI research company in San Francisco is seeking an experienced Quality Engineer to drive product and site quality initiatives across its infrastructure ecosystem. The ideal candidate will have over 10 years of experience in manufacturing quality management and a Bachelor's degree in engineering. Key responsibilities include developing manufacturing quality programs, conducting vendor audits, and collaborating with cross-functional teams to ensure high-quality standards. Strong analytical and communication skills are essential for this role.

Qualifications

• 10+ years in manufacturing quality management, supplier quality engineering, process improvement, or related fields.
• Proven track record managing deliverables for complex projects or supplier programs.
• Strong analytical skills for data analysis and problem-solving.

Responsibilities

• Develop and establish a datacenter-focused manufacturing quality program.
• Conduct vendor capability assessments and quality audits.
• Collaborate with engineering, sourcing, and site operations to establish quality processes.

Skills

Manufacturing quality management

Supplier quality engineering

Process improvement

Strong communication skills

Education

Bachelor’s degree in engineering or related field

Job description

A leading AI research company in San Francisco is seeking an experienced Quality Engineer to drive product and site quality initiatives across its infrastructure ecosystem. The ideal candidate will have over 10 years of experience in manufacturing quality management and a Bachelor's degree in engineering. Key responsibilities include developing manufacturing quality programs, conducting vendor audits, and collaborating with cross-functional teams to ensure high-quality standards. Strong analytical and communication skills are essential for this role.