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Manager, SWQA Test Development

Job in Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: NVIDIA Gruppe
Full Time position
Listed on 2026-05-30
Job specializations:
  • Software Development
    Software Project Mgr/ Lead, DevOps
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

As Quality Assurance and Test Development Manager for NVIDIA’s CUDA SW group, you will lead a team of engineers to develop test plans and highly efficient automated testing for GPU Cloud Computing products, ensuring accurate behavior, robustness, and performance criteria.

Key Responsibilities
  • Drive quality assurance and test development on GPU cloud computing products.
  • Identify strategies and metrics for leading initiatives to continuously improve product quality and your team’s capabilities.
  • Guide your team to acquire AI skills, train on new technologies for quality assurance, and drive adoption and innovation of using AI to make the work perfect.
  • Collaborate with development, program management, marketing, and engineering teams, negotiating requirements and deriving test solutions and proposals.
  • Drive a “Zero Defect” culture by constantly striving for test plan improvement and perfection.
  • Innovate to create new tools and processes to accelerate development and improve quality.
  • Cultivate leadership in others.
Qualifications
  • BS or higher degree in CS/EE/CE or equivalent practical experience.
  • 8+ years in SW development, SW QA or testing background, and at least 6 years’ experience in a managerial role with a good track record.
  • Ability to use AI to develop test cases, automation, and improve efficiency and performance.
  • Proficiency in software and/or operating systems environments.
  • Strong software development and verification process fundamentals.
  • Experience using a quality mindset to drive improvements, passionate about quality, and demonstrating high standards.
  • Organizational and interpersonal skills for driving complex issues to closure.
  • Expertise in mentoring and coaching skills.
Preferred Qualifications
  • Familiarity with NVIDIA GPU hardware, CUDA, and DGX Cloud is a strong plus.
  • Experience with Linux on compute clusters.
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