At a Glance
- Tasks: Join NVIDIA to enhance testing frameworks and automate processes for cutting-edge AI technology.
- Company: NVIDIA, a leader in AI computing and innovation.
- Benefits: Competitive salary, extensive benefits, and a flexible, inclusive work environment.
- Other info: Dynamic team culture focused on innovation and career growth.
- Why this job: Make a real impact in AI by improving software quality and automation.
- Qualifications: 5+ years in QA, strong programming skills, and experience with cloud systems.
The predicted salary is between 60000 - 80000 £ per year.
NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles.
We are looking for a Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks.
- What You’ll Be Doing
- Review product requirements and develop test matrix.
- Build testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risks.
- Manage bug lifecycle and co-work with inter-groups to work towards solutions.
- Automate manual tests and assist in the architecture, building and implementing test frameworks.
- Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation.
- Support a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines.
- What We Need To See
- BS or higher degree or equivalent experience in Computer Science, Electronics or related discipline with 5+ years QA experience.
- Proficient with web based UI and RESTful APIs validation via code as well as Unix/Linux and shell/python programming skills.
- Familiarity with networking protocols as well as working command of the Python programming language.
- Rich experience in test cases development and failure root cause analysis.
- Track record in identifying areas of process improvement.
- Good command of Cloud management systems and Kubernetes and supporting cloud infrastructure (Grafana etc).
- Experience with building and handling CI/CD pipelines.
- Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows.
- Fine-tuning or training models for QA-specific tasks - adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation.
- Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.
- Excellent communicator, fluent written and verbal English.
- Ways To Stand Out From The Crowd
- Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents.
- Building AI-powered test generation tools - using LLMs to automatically generate test cases, test code, edge cases, or synthetic test data.
- Experience working with NVIDIA GPU hardware is a strong plus.
- Scalability or performance testing knowledge is a plus.
- Experience with data analysis and system monitoring across distributed systems as well as experience with Golang.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.
Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology.
We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility.
As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.
#J-18808-Ljbffr
Senior Software QA Test Development Engineer employer: Nvidia
NVIDIA is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among talented professionals. With a focus on cutting-edge technology in AI and cloud systems, employees benefit from competitive salary packages and ample opportunities for personal and professional growth in a dynamic environment. Join us to be part of a team that is not only solving significant challenges but also shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software QA Test Development Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Nvidia or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nvidia.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Nvidia.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Nvidia that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software QA Test Development Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nvidia.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nvidia and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nvidia
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nvidia uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
