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Urgent! Software QA Test Dev Engineer - Local Job Opening in Santa Clara
We are seeking a qualified Software QA Test Development Engineer to join our GPU SWQA team.
The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of both Windows and Linux operating systems.
Comprehensive knowledge of system architecture is essential, along with a strong command of PC I/O architecture and common bus interfaces, including PCI-E, USB, and SATA.
Familiarity with specifications pertaining to general PC-Architecture components will be regarded as a valuable asset.
What you’ll be doing:
+ Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
+ Build tools/utility/framework in Python / C / C++ which would help automate and optimize the testing workflows in GPU domain .
Develop and implement automated and manual tests, analyze results, identify and report defects.
+ Rigorously drive test automation initiative.
Build innovative ways to automate and expand our software testing.
+ Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure.
Measure code coverage for the software under test, analyze and drive code coverage enhancements.
+ Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code.
Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth.
+ Provide peer code reviews including feedback on performance, scalability and correctness.
+ Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.
+ You will have the opportunity to work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports.
+ This is an onsite position located at the Santa Clara HQ office.
What we need to see:
+ B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
+ 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
+ Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
+ Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch.
+ Good understanding of OS fundamentals, PC Hardware fine-tuning in those areas
+ Good Communication skills (interpersonal and across teams).
+ Excellent analytical and problem-solving skills.
+ Very organized, proactive, and has good learning ability.
+ The ability to work with a team of engineers in a fast-paced environment
Ways to stand out from the crowd:
+ Good problem-solving skills (solid logic to apply in isolation and regression of issues found).
+ Substantial experience with AI-driven automation
+ Ability to work in a distributed team environment.
+ Good written communications skills are crucial.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 18, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Software QA Potential: Insight & Career Growth Guide
Real-time Software QA Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Software QA in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 47131 jobs in United States and 1092 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Software QA roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Software QA Test Dev Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Software QA Test Dev Engineer Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Software QA Test Dev Engineer Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Software QA Test Dev Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Software QA Test Dev Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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