Why join Upscale, Inc.

Upscale, Inc., is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $500M 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 is where you can produce meaningful work at the frontier—and operate at a high standard.

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).

Where you fall within that range depends on your experience, skills, and impact—we benchmark against internal levels to keep things fair and consistent.

Equal Opportunity

Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences. We’re proud to be an Equal Opportunity Employer and consider all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or veteran status.

Accessibility & Accommodations

We’re committed to making our hiring process accessible to everyone. If you need accommodations at any stage, just reach out to us at hiring@upscaleai.com—we’re happy to help. Note: This inbox is only for accommodation requests.