Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Agile @ 3
Automated Testing
ChatGPT @ 3
Communication @ 3
Debugging @ 3
Deep Learning @ 3
Git @ 3
JMeter @ 6
Java @ 6
JavaScript @ 3
Jenkins @ 6
Leadership @ 3
Marketing
Maven @ 6
QA @ 3
Selenium @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for an outstanding Quality Assurance Engineer to join its Digital Marketing Operations Team and help drive the delivery of global web initiatives and operations. The role is responsible for project management and coordination of software testing for web and mobile releases, with a focus on quality assurance and automation.
Responsibilities
- Work with development teams to triage issues, conduct root cause analysis, and confirm fixes.
- Define new tests and improve existing test plans to ensure high quality standards.
- Develop and update automated testing scripts using Java, TestNG, and Selenium for frontend, REST/services, database, and AEM components.
- Collaborate with teams in different regions through reviews and meetings.
- Create and improve stable, reusable, and flexible automation frameworks.
- Improve NVIDIA's continuous integration framework by integrating build, compilation, testing, and validation processes with scheduling, automated notifications, and build deployments.
Requirements
- Bachelor's degree in Computer Science or equivalent experience in a related field.
- At least 4 years of hands-on testing experience in an embedded software stack.
- Hands-on experience with AEM components, authoring, and publishing testing.
- Knowledge of HTML5, CSS3, JavaScript, ReactJS UI technologies, and debugging methodologies.
- Experience with configuration management tools such as Git and Perforce, as well as Agile Scrum tools.
- Ability to balance conflicting and changing priorities while maintaining a positive demeanor in ambitious and dynamic schedules.
- Demonstrated management, leadership, analytical, and communication skills.
- Strong technical skills and a deep understanding of embedded systems, orchestration and automation systems, data centers, and cloud architecture.
Preferred Qualifications
- Advanced degree or equivalent experience in Computer Science or a related field.
- Advanced knowledge of Selenium, TestNG, Maven, Jenkins, databases, web services, JMeter, and Java.
- Knowledge of AI and deep learning frameworks.
- Experience building QA automation AI workflows coordinated across platforms such as ChatGPT, Claude, and Cursor.
- Excellent interpersonal skills with both technical and non-technical audiences.
Benefits
- Base salary range of USD 132,000 to USD 207,000 per year.
- Eligibility for equity and benefits.
- NVIDIA offers a comprehensive benefits package.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
Applications will be accepted at least until September 27, 2026.
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