Manager SWQA Test Development

NVIDIA; Belfast; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Northern Ireland seeks a Quality Assurance and Test Development Manager to lead a world-class team. This role involves driving quality assurance on GPU cloud computing products, developing automated testing strategies, and fostering a zero-defect culture. Candidates should have over 8 years of experience in software development or QA, with at least 6 years in a managerial role. Strong AI skills and collaboration capabilities are essential for success.

Qualifications

• 8+ years in software development, QA, or testing.
• 6+ years in a managerial role with a good track record.
• Passionate about quality with high standards.

Responsibilities

• Drive quality assurance and test development on GPU cloud computing products.
• Identify metrics for improving product quality.
• Cultivate leadership in team members.

Skills

AI skills

Test plan improvement

Collaboration skills

Mentoring and coaching

Organizational skills

Education

BS or higher degree in CS/EE/CE or equivalent

Job description

NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering world-class Deep Learning software frameworks, accelerated analytics, big data, supercomputing data centers, smart cities, and driving autonomous vehicles. This job involves collaborating with brilliant and talented people across the globe to translate objectives into action plans, to identify and overcome technical and schedule challenges, and to innovate to improve or create test and development processes.

We are looking for a phenomenal leader to build and lead a world-class Quality Assurance and Test Development team working with NVIDIA’s global engineering teams. As Quality Assurance and Test Development Manager for NVIDIA’s CUDA SW group, you will be leading a team of engineers to develop test plans and highly efficient automated testing to verify accurate behavior, robustness, and ensure products meet or exceed performance criteria. You will own planning and driving test cycles for one or more products in NVIDIA’s GPU Cloud Computing. You will develop strategies to improve processes and team capabilities to strive for producing products with zero defects. You\'ll embrace AI technologies and drive the adoption and innovation of using AI to make the work perfect!

What You’ll Be Doing:

• Be responsible for driving 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, drive adoption and innovation of using AI to make the work perfect

• Collaborate with development, program management, marketing, and engineering teams, negotiate requirements and deriving test solutions and proposals

• Drive a “Zero Defect” culture by constantly striving for test plan improvement and perfection

• Innovating to create new tools and processes to accelerate development and improve quality.

• Cultivate leadership in others

What We Need To See:

• 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 managerial role with good track record

• Use AI to develop test cases, automation, improve efficiency and performance

• Proficiency in software and/or operating systems environments

• Strong software development and verification process fundamentals

• Experienced in using quality mindset to drive improvements, Passionate about quality, demonstrate high standards

• Organizational and interpersonal skills for driving complex issues to closure

• Expert in mentoring and coaching skills

Ways To Stand Out From The Crowd:

• Familiarity with NVIDIA GPU hardware, CUDA, and DGX Cloud is a strong plus

• Experience with Linux on compute clusters