Silicon System Level Test Development Engineer

NVIDIA, a global leader in graphics and artificial intelligence, is seeking a Silicon System Level Test Development Engineer to join their Silicon Solutions Group (SSG) in Santa Clara, CA. This role offers an exceptional opportunity to work across the entire product development lifecycle, from early architecture definition through bring-up to product release.

As part of the Hardware Architecture Development (HW ArchDev) team, you'll be at the heart of silicon and system-level feature development, working on tradeoff analysis, system integration solutions, and system Product of Record (POR) alignment. Your primary responsibility will be creating new tests to validate electrical, power, and thermal features on the GPU.

The position requires a Master's degree in a relevant field and at least 3 years of experience, with expertise in system testing and programming languages like Python, Linux, and Perl. You'll be working with cutting-edge GPU/CPU system features and developing test strategies to ensure product quality.

NVIDIA offers a competitive compensation package, with a base salary range of $136,000 - $264,500 USD, plus equity and comprehensive benefits. The company is known for its innovative culture and is consistently ranked among the most desirable employers in the technology sector. Working at NVIDIA means joining a team that's pushing the boundaries of technology, particularly in AI and graphics performance.

The role provides a hybrid work arrangement, combining the flexibility of remote work with in-person collaboration. You'll be part of a forward-thinking team that values creativity and autonomy, with the opportunity to make significant contributions to groundbreaking technologies. NVIDIA's commitment to diversity and inclusion ensures a welcoming environment for all employees.

This is an excellent opportunity for someone passionate about hardware testing and validation who wants to work with state-of-the-art technology in a company that's driving innovation in AI and graphics computing.