System Test Engineer

Posted Yesterday
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The System Test Engineer will design and implement RF manufacturing test solutions for embedded and automotive products, develop automated test procedures, troubleshoot RF issues, analyze test data, and stay updated with RF technologies.
Summary Generated by Built In

We are looking to hire a System Test Engineer with a strong background in RF systems who will work in the test solutions group at NVIDIA developing manufacturing test solutions for Embedded and Automotive products. Through HW and SW expertise, you will explore challenging areas of test coverage and test automation to find the right solutions.

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join our growing team today!

What you will be doing:

  • Design, develop, and implement manufacturing RF test solutions for embedded and automotive system products.

  • Develop and optimize automated test procedures for manufacturing environments and contribute to automated diag generation and validation infrastructure.

  • Work with RF testers and analyzers to perform complex measurements, and implement automation solutions for RF test equipment to improve efficiency and accuracy

  • Troubleshoot and debug complex RF and system-level issues, collaborate with cross-functional teams to ensure test coverage and quality standards are met. Debug complex hardware and software issues during build phases.

  • Analyze test data and provide insights for continuous improvement.

  • Stay current with emerging RF technologies and testing methodologies.

What we need to see:

  • 5+ years of experience with post-silicon validation experience in Board or System products and 2+ years of experience in RF system test development.

  • BS Degree or equivalent experience.

  • Strong understanding of RF principles and testing methodologies. Knowledge of wireless communication standards (e.g., 5G, Wi-Fi, Bluetooth)

  • Proficiency in Python programming and experience with Linux operating systems. Familiarity with version control systems, particularly GitLab

  • Understanding of hardware and system-level concepts in embedded and automotive environments.

  • Hands-on experience with RF testers and analyzers (e.g., spectrum analyzers, network analyzers). Demonstrated ability to automate RF test procedures and equipment

  • Experience working with manufacturing test programs at platform or system level.

  • Excellent problem-solving skills, attention to detail, and effective communication skills.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!

The base salary range is 124,000 USD - 195,500 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

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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