Why join Upscale AI
Upscale AI is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $300M in funding and rapid global adoption, we are scaling systems designed for the world’s most demanding AI workloads.
We focus on first-principles engineering across silicon, systems, and networking—where performance, scale, and execution are critical. Our team is talent-dense and high-performing. We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact.
If you’re looking to do high-impact work, move fast, and help define the infrastructure behind the future of AI—Upscale AI is where you can produce meaningful work at the frontier—and operate at a high standard.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Upscale AI's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Upscale AI’s SOCs are the most advanced in the world. In this role, you will help to manufacture the SoC’s that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high-volume manufacturing at wafer fabrications and Outsourced Semiconductor Assembly and Tests (OSAT’s). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next-generation of chips. You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will need to have a strong understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost-effective production test solutions into mass production to hit yield and quality goals.
Responsibilities
- Develop and implement high-volume manufacturing strategies for SoC products, optimize ATE/SLT test coverage, reduce Defective parts per million (DPPM) and test costs, and manage product data integration.
- Accelerate mass production via test program releases, data analytics, lot disposition, test time reduction, yield improvement, and return merchandise authorization (RMA) handling.
- Partner with cross-functional teams (Test, Quality, Packaging, Operations) to deploy and maintain high-volume manufacturing (HVM) screening solutions.
- Manage database integration for wafer sort (CP), final test, and SLT, while overseeing test program integration, production release, binning, manufacturing flow definition, NPI material handling, and foundry process optimization.
Qualifications
- Experience with industry standards, design tools, and design for testing (DFT) best practices, including at-speed transition delay fault (TDF), automatic test pattern generation (ATPG), memory built-in self-test (MBIST), memory repair, diagnostic tools, and yield improvement.
- Experience with product engineering, supply chain data analytics and diagnostics for High Volume Manufacturing and NPI.
- Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues, Statistical analysis (e.g., JMP), Yield Management Systems (e.g., Exensio, YieldExplorer, JMP), and Python for data analytics.
- Understanding of skew lot definition, data collection, characterization, data analysis and report.
- Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in product engineering or test engineering.
- 1 year of experience in people management, developing employees.
- Experience with product engineering, supply chain data analytics or diagnostics for manufacturing or New Product Introduction (NPI).