QA Engineer

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We are looking for a technically strong, hands-on QA Engineer to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade.

• Technical Investigation & Debugging

• Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed.

• Drive root cause analysis across factory teams and internal engineering groups.

• Document findings and help define preventive actions for recurring problems.

• Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support

• Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs.

• Provide technical support, coordination, and hands-on assistance during the bring-up process.

• Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA

• Perform visual inspections of completed products (servers, racks) before packaging.

• Define and maintain QA checklists and inspection procedures tailored to different product lines.

• Verify inventory records at the factory against internal system data (part numbers, serials, configurations).

• Oversee the product packaging process for compliance with defined standards.

• Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics

• Collect failure data from vendor-side burn-in and our own test systems.

• Analyze failure trends and estimate spare part needs for future datacenter deployments.

• Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement

• Gather and process feedback from datacenters on each delivered batch of equipment: * Report on packaging issues, impact sensor triggers, shipping anomalies. * Assess rack-level build quality: cabling, bracket alignment, labeling. * Log systemic hardware issues (design flaws, infant mortality, recurring failures).

• Forward the feedback to