Overview

The Compute Scaled Manufacturing organization drives Oracle’s AI infrastructure by scaling server qualification to meet surging GPU demand, boosting throughput and yields across sites and products. We standardize SKU and supplier qualification, accelerate production ramps, and ensure lifecycle traceability for faster time-to-production and predictable quality at scale. Success enables a repeatable model for seamless onboarding of new products and factories.

Responsibilities

• Lead a team of engineers to scale server qualification processes for high-volume GPU manufacturing.
• Standardize qualification protocols for new SKUs, suppliers, and production sites.
• Optimize workflows to accelerate ramps and improve yields across global factories.
• Implement end-to-end traceability systems for lifecycle accountability.
• Collaborate with hardware, supply chain, and AI teams to align on production goals.
• Drive data-driven improvements in throughput, quality, and time-to-production.
• Mentor senior engineers and foster a culture of innovation and accountability.
• Manage cross-functional projects to onboard new products with minimal disruption.

Qualifications

• 10+ years in software development with 5+ years managing engineering teams in hardware/manufacturing.
• Proven track record scaling high-volume production systems for cloud or AI infrastructure.
• Deep expertise in server qualification, SKU validation, and supply chain processes.
• Strong experience with data analytics, automation, and traceability platforms.
• Excellent leadership skills with ability to drive results in fast-paced environments.
• Bachelor’s or Master’s in Computer Science, Engineering, or related field.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching and employee stock purchase program.
• Flexible PTO and remote/hybrid work options.
• Professional development stipend and career growth opportunities.