Senior Software Development Engineer in Test

Posted 21 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
In this role, you will lead the development of automation tools, create test plans, and ensure the quality of software releases on various platforms. You'll collaborate with teams to drive testing strategies and validate software, focusing on advancing technology and quality standards.
Summary Generated by Built In

As a Software QA Test Development Engineer at NVIDIA, you will have the opportunity to work with a team of dedicated professionals who are enthusiastic about advancing technology. You will play a crucial role in testing, 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:

  • Develop detailed test plans and perform testing for Compute software releases on different platforms, such as Tesla GPUs, NVIDIA turnkey systems, and OEM systems.

  • Lead CUDA release efforts, gather automation requirements, and drive the development of automation tools and infrastructure.

  • Collaborate with the test development team to build and develop test content in C/C++.

  • Ensure the delivery of high-quality software by focusing on code coverage and maintaining automation tools and infrastructure.

  • Contribute to the automation of manual test cases and work closely with the automation infrastructure team.

  • Ensure the delivery of high-quality software by focusing on code coverage, maintaining automation tools, infrastructure and coordinating incident management follow-up and contributing to the software system directly through code contributions.

  • Define the testing requirements and coordinate release strategy including and reviewing new features and report the issues in attestation software.

  • 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 related field (or equivalent experience), with a preference for candidates holding a Master's degree.

  • 8+ years of experience in software QA and automation development.

  • Proven experience in leading projects and collaborating across functional teams.

  • Strong knowledge of parallel programming, ideally CUDA C/C++, and experience with scripting languages such as Python.

  • Development experience in a test support organization.

  • 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, Perl, Python, 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 cloud technologies such as Cloud Stack, Open Stack, Mesos, Hadoop, and Kafka, as well as containers like Docker.

  • Understanding of virtualization infrastructure software like HyperV and KVM.

  • Experience in machine learning, artificial intelligence, and computer vision would be a plus.

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. 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. 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.

Top Skills

C/C++
Cuda
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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