Job Information
Nvidia Senior Software Development Engineer in Test in Santa Clara, California
Join our team at NVIDIA as a Senior QA Test Development Engineer. Lead quality across multiple projects with a dedicated and enthusiastic team of professionals. You will play a crucial role in testing NVIDIA's Physics Informed Machine Learning technologies and products like NVIDIA Modulus and Earth-2. Also, that includes test content development and validating our software releases, ensuring that our products meet exceptional quality standards. With our state-of-the-art infrastructure and advanced technologies, you will tackle stimulating and intricate challenges that directly impact the success of our products. Join us in revolutionizing the industry and shaping the future of computing.
What you'll be doing:
As a software leader, you'll need to lead QA teams, engage technically, create vision and strategy, build roadmaps, and collaborate on products.
Collaborate across the company to guide the direction of validating Confidential Computing within NVIDIA products, working with hardware, software, customers, and product teams.
Ensure the delivery of high-quality software by focusing on code coverage and maintaining automation tools and infrastructure.
Evangelize NVIDIA's Physics Informed Machine Learning technology and product on events and communities.
Drive continuous improvement activities to improve the quality of the products.
Enhance system performance and predictability through data analysis, while conducting release and regression tests for existing CUDA features.
Focus on enhancing the customer experience by improving the ease of use and optimizing performance.
Driving the success of our products through meticulous testing and validation to meet high-quality standards.
What we need to see:
A bachelor’s degree in a Computer Science, cloud computing technology, or equivalent experience; preference for master’s degree.
8+ years of experience in software QA and automation development. 2+ years in lead/manage software engineering team.
Solid understanding and experience of Physics Informed Machine Learning for engineering and science simulations in one or multiple application domains.
Strong knowledge of Python, C/C++, Java and experience with scripting languages.
Solid understanding of QA methodologies and cluster management.
Proficiency in devising test strategies, crafting comprehensive test plans, and proficiently conducting tests.
Familiarity with embedded systems, Linux, and bug logging.
Proficiency in building test setups and strong hardware and software triage skills.
Ways to stand out from the crowd:
Knowledge of testing and validating large-scale cloud infrastructure and/or distributed systems.
Familiarity with various Climate and Weather simulation and prediction.
Experience in machine learning, artificial intelligence, and computer vision would be a plus.
Background with NVIDIA GPUs, SDKs, platforms, or services.
NVIDIA is a well-known and esteemed company in the technology industry. We are recognized for our innovative solutions and are home to individuals who are both forward-thinking and dedicated. We strive to create a work environment that encourages collaboration and inclusivity, where all ideas are valued and respected. If you are a self-motivated and imaginative individual seeking to make a significant difference, we look forward to hearing from you!
The base salary range is 164,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
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.