Sr. ASIC DFT Engineer (Silicon) at SpaceX
- In Austin, TX.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. ASIC DFT ENGINEER (SILICON ENGINEERING) At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy Starlink, the world’s most advanced broadband internet system. Starlink is the world’s largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We’ve only begun to scratch the surface of Starlink’s potential global impact and are looking for best-in-class engineers to help maximize Starlink’s utility for communities and businesses around the globe. We are seeking a motivated, proactive, and intellectually curious engineer who will work alongside world-class cross-disciplinary teams (systems, firmware, architecture, design, validation, product engineering and ASIC implementation). In this role, you will be developing next-generation ASICs for deployment in space and ground infrastructures around the globe. These chips are enabling connectivity in places it has previously not been available, affordable or reliable. Your efforts will help deliver cutting-edge solutions that will expand the performance and capabilities of the Starlink network. RESPONSIBILITIES: Implement and optimize DFT architectures, including scan insertion, compression/decompression logic, memory BIST, and logic BIST, leveraging Siemens Tessent tools Integration and verification of Design for Test (DFT) IPs and fabrics within Subsystems Set up and run Automatic Test Pattern Generation (ATPG) tools and methodologies, including generating patterns for stuck-at, transition, and path delay fault models, while focusing on pattern compression, diagnosis, and hierarchical test flows. …