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Upscale AI

High-performance AI networking hardware and software

Senior Test Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeRemote in TaiwanNT$2.1M - NT$2.3M /yrRemote

About the Job

Requirements

  • Experience with industry standards, design tools, and design for testing best practices, including at-speed transition delay fault, automatic test pattern generation, memory built-in self-test, memory repair, diagnostic tools, and yield improvement.
  • Experience with product engineering, supply chain data analytics, and diagnostics for high-volume manufacturing and New Product Introduction.
  • Experience evaluating customer returns with automatic test equipment and system-level test, identifying coverage gaps, and developing incremental structural and functional patterns to address quality issues.
  • Experience using statistical analysis tools such as JMP and yield management systems such as Exensio, YieldExplorer, and JMP, as well as Python for data analytics.
  • Understanding of skew lot definition, data collection, characterization, data analysis, and reporting.
  • A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field, or equivalent practical experience.
  • Eight years of experience in product engineering or test engineering.
  • One year of experience in people management and employee development.
  • Experience with product engineering, supply chain data analytics, or diagnostics for manufacturing or New Product Introduction.

Responsibilities

  • Develop and implement high-volume manufacturing strategies for system-on-chip products, optimize automatic test equipment and system-level test coverage, reduce defective parts per million and test costs, and manage product data integration.
  • Accelerate mass production through test program releases, data analytics, lot disposition, test time reduction, yield improvement, and return merchandise authorization handling.
  • Partner with Test, Quality, Packaging, and Operations teams to deploy and maintain high-volume manufacturing screening solutions.
  • Manage database integration for wafer sort, final test, and system-level test, while overseeing test program integration, production release, binning, manufacturing flow definition, New Product Introduction material handling, and foundry process optimization.

About the Company

Upscale AI

High-performance AI networking hardware and software

Upscale AI builds a full-stack, high-performance AI networking platform to scale up GPU compute. It designs purpose-built silicon chips and a software orchestration layer that connects thousands of GPUs into a single, unified compute engine. The system is optimized for the heavy data movement and bursty traffic of large language model training and inference, enabling fast, scalable AI workloads. Unlike traditional, vendor-driven networking stacks, Upscale AI offers open-standard networking powered by silicon and software, and participates in consortia like UEC and SONiC to ensure interoperability across different hardware environments. Its customers include global hyperscalers, AI-first enterprises, and sovereign cloud providers who need large-scale, interoperable AI clusters without lock-in. The company’s goal is to democratize AI infrastructure by delivering high-performance, open-standard solutions that let organizations build and operate massive AI clusters more efficiently.

Company size
201-500
Company stage
Series A
Total funding
$490M
Headquarters
Santa Clara, CA
Founded
2024

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