Meta is seeking an experienced ASIC Engineer to join their Hardware Testing Infrastructure team within the AI Infrastructure division. This role combines software development expertise with hardware knowledge to build and maintain critical testing infrastructure for Meta's custom chip development efforts.
The position offers a competitive compensation package ranging from $173,000 to $249,000 annually, plus bonus, equity, and comprehensive benefits. Based in either Sunnyvale, CA or Austin, TX, this role represents an opportunity to work at one of the world's leading technology companies that's pushing boundaries in AI and custom silicon development.
As an ASIC Engineer, you'll be instrumental in defining testing approaches and creating the necessary infrastructure to ensure successful chip development. The role requires a unique blend of software development skills and hardware understanding, as you'll be working closely with RTL design, verification, and firmware teams to deliver functional silicon on aggressive schedules.
Key responsibilities include developing and maintaining testing infrastructure, implementing monitoring and metrics collection systems, and creating automated dashboards for real-time progress tracking. You'll use modern development tools and practices, including Python, build systems, and version control, while working with hardware modeling and simulation tools.
The ideal candidate should have 8+ years of software development experience, strong proficiency in languages like Python and C++, and a deep understanding of embedded systems and hardware concepts. This role offers the opportunity to work on cutting-edge technology while collaborating with top talent in the field.
Meta offers a collaborative environment where you can make a significant impact on the future of custom chip development while working on projects that affect billions of users worldwide. The company's commitment to innovation in AI infrastructure and custom silicon makes this an exciting opportunity for someone looking to combine software expertise with hardware development at scale.