NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are now looking for a Senior System Level Test Engineer. NVIDIA is seeking Senior System Level Test Engineer to implement the world’s leading SoC's, GPU's and ASIC's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing!
What you'll be doing:
Lead the design, automation, and validation of System Level Tests (SLT) for HVM (High Volume Manufacturing) for complex, high power, high speed SOCs
Develop and integrate test flows, scripts and automation to ensure robust SLT coverage and seamless communication between test controllers and peripherals
Partner with system architecture, chip design and validation teams to define and deliver production ready SLT and HVM test solutions
Drive custom SLT development to optimize system performance, power efficiency and test coverage
Oversee handler selection, enablement and hardware integration – including PCB design, socket selection, and temperature control systems
Improve manufacturing test quality by enhancing test correlation, yield and reliability across NPI, HVM and RMA processes
Collaborate closely with OSATs on production enablement, sustaining, yield analysis and DPPM reduction initiatives
Support silicon qualification and reliability testing (HTOL, Burn in) at the system level
What we need to see:
MS/PhD in Electrical Engineering, Computer Science or Computer Engineering (or equivalent experience)
12+ years of experience in Systems level test, systems validation, and/or bench testing
Experience in new silicon bring up at the system level
Experience in driving SLT testing and deployment for HVM
Experience with testing and characterization of high power SOCs and High Speed I/Os
Knowledge of network topology and experience in network connectivity
Proficient in C#, C/C++, PERL, Python, .NET framework
Experience in Security provisioning and knowledge of fuse programming implementation
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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
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.”
