
51 - 200 employees
Founded 2025
🤝 B2B
☁️ SaaS
🔥 Funding within the last year
💰 $190M Series A on 2026-06
B2B • SaaS
Upscale is presented as a digital product or services company with a public website featuring product/solutions pages, case studies, insights/blog posts, and careers. The available site CSS and markup indicate a polished marketing site with product pages, solutions and workload sections, case studies and featured blogs — suggesting Upscale markets software or digital services to business customers. From the site content structure it appears Upscale targets professional buyers (B2B) and likely offers a software-based product or platform delivered via the web (SaaS).
🔥 53 minutes ago
🇹🇼 Taiwan – Remote
💵 NT$2.1M - NT$2.3M / year
⏰ Full Time
🟠 Senior
⚙️ Software Development Engineer in Test (SDET)
👻 Ghost score 0%
Where this job comes from
Posted on Upscale's careers page, not through a job board
First seen by Remote Rocketship 53 minutes ago
Still open on Upscale's site. Checked 2 minutes ago.

51 - 200 employees
Founded 2025
🤝 B2B
☁️ SaaS
🔥 Funding within the last year
💰 $190M Series A on 2026-06
B2B • SaaS
Upscale is presented as a digital product or services company with a public website featuring product/solutions pages, case studies, insights/blog posts, and careers. The available site CSS and markup indicate a polished marketing site with product pages, solutions and workload sections, case studies and featured blogs — suggesting Upscale markets software or digital services to business customers. From the site content structure it appears Upscale targets professional buyers (B2B) and likely offers a software-based product or platform delivered via the web (SaaS).
• 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 through test program releases, data analytics, lot disposition, test time reduction, yield improvement, and RMA handling • Partner with Test, Quality, Packaging, and Operations teams to deploy and maintain high-volume manufacturing screening solutions • Manage database integration for wafer sort (CP), final test, and SLT • Oversee test program integration, production release, binning, manufacturing flow definition, NPI material handling, and foundry process optimization • Develop and deploy manufacturing test and data analytics solutions for high-volume manufacturing at wafer fabrications and OSATs • Integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices • Drive yield improvement, cost optimization, production test solutions, and quality goals • Deploy screening methodologies and flows for data processing, analytics, and diagnostics • Apply understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis
• 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 New Product Introduction (NPI) • Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues • Experience with statistical analysis tools such as JMP • Experience with Yield Management Systems such as Exensio, YieldExplorer, and JMP • Python experience for data analytics • Understanding of skew lot definition, data collection, characterization, data analysis, and reporting • 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 and developing employees • Experience with product engineering, supply chain data analytics, or diagnostics for manufacturing or NPI
• Equal Opportunity Employer • Accessibility and accommodations during the hiring process
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