Sr. Semiconductor Test Engineer

Posted 3 Days Ago
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Austin, TX, USA
Hybrid
140K-270K Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Role
Owns end-to-end semiconductor production test across wafer sort, final package test, characterization, screening, volume ramp, and manufacturing release. Develops and debugs ATE test programs, translates test patterns, analyzes yield and quality data, drives root-cause resolution, and collaborates with design, DFT, product, reliability, manufacturing, OSATs, foundries, and ATE vendors. The role also builds test infrastructure, automation, analytics, and scalable test methodologies for analog and digital AI inference silicon.
Summary Generated by Built In

Mythic builds AI inference processors based on analog compute-in-memory, an architecture that puts unusual demands on test: analog behavior, process variation, and trim and calibration all matter alongside conventional digital coverage. We are looking for a hands-on test engineer to own production test across the full silicon lifecycle, from bring-up and characterization through Wafer Sort, Final Package Test, and high-volume manufacturing.

This is not a maintenance role. This is a build role.

You will define how Mythic tests and ships silicon: the methodology, coverage strategy, screening philosophy, and release criteria, and the test programs and infrastructure that put them into practice. You will set strategy and also write code, debug hardware, and dig into manufacturing data yourself, working closely with design, DFT, product engineering, reliability, and manufacturing.

What you'll own

  • Mythic’s end-to-end production test strategy across Wafer Sort, Final Package Test, characterization, screening, and volume ramp
  • Test programs for new silicon products, from development and debug through production release and optimization
  • Test methodology, coverage strategy, screening philosophy, and release criteria
  • Silicon bring-up, characterization, correlation, guardbanding, and test transfer into manufacturing
  • Yield and quality analysis: finding systematic failures and escapes and driving them to root cause
  • Day-to-day technical work with OSATs, foundries, and ATE vendors to deploy and sustain test flows
  • Tradeoffs across test coverage, cost, test time, quality, and ramp schedule
  • Infrastructure, automation, and analytics for production test and yield learning

What you'll bring

    Required qualification 
  • 5+ years in semiconductor test engineering, product engineering, or production test development
  • Hands-on ownership of Wafer Sort and Final Package Test
  • Developing, debugging, and releasing test programs on ATE platforms in production
  • Converting and translating test patterns from STIL, WGL, and VCD into ATE-specific pattern formats
  • Solid grounding in manufacturing test flows, device screening, test coverage, guardbanding, and outgoing quality
  • Experience taking silicon through bring-up, characterization, yield ramp, and production release
  • Strong debug skills and fluency with manufacturing test data
  • Experience working with design, DFT, product, reliability, and operations teams
  •  
    Preferred qualifications
  • Testing mixed-signal or analog silicon, including trim and calibration
  • Experience with AI, accelerator, or high-performance compute silicon
  • Experience with Advantest, Teradyne, or similar ATE platforms
  • Probe cards, load boards, hardware interfaces, and test hardware debug
  • DFT structures such as scan, MBIST, and boundary scan
  • Managing OSATs and other external manufacturing partners
  • Scripting, automation, and test-data analysis (e.g., Python, JMP, or yield-analysis tools)
  • A track record of reducing test time and improving yield and correlation during ramp
  • What success looks like in your first year
  • Wafer Sort and Final Test flows are robust, scalable, and released to production
  • New products move from bring-up to manufacturing with strong coverage and few surprises
  • Yield issues are caught early and driven to root cause quickly
  • Test programs are stable, efficient, and built to scale with volume
  •  

Skills Required

  • 5+ years in semiconductor test engineering, product engineering, or production test development
  • Hands-on ownership of Wafer Sort and Final Package Test
  • Developing, debugging, and releasing production test programs on ATE platforms
  • Converting and translating STIL, WGL, and VCD test patterns into ATE-specific formats
  • Knowledge of manufacturing test flows, device screening, test coverage, guardbanding, and outgoing quality
  • Experience taking silicon through bring-up, characterization, yield ramp, and production release
  • Strong debugging skills and fluency with manufacturing test data
  • Experience collaborating with design, DFT, product, reliability, and operations teams
  • Experience testing mixed-signal or analog silicon, including trim and calibration
  • Experience with AI, accelerator, or high-performance computing silicon
  • Experience with Advantest, Teradyne, or similar ATE platforms
  • Experience with probe cards, load boards, hardware interfaces, and test hardware debugging
  • Experience with scan, MBIST, and boundary scan DFT structures
  • Experience managing OSATs and other external manufacturing partners
  • Scripting, automation, and test-data analysis using tools such as Python, JMP, or yield-analysis software
  • Track record of reducing test time and improving yield and correlation during ramp
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The Company
HQ: Austin, TX
62 Employees
Year Founded: 2012

What We Do

Mythic develops cutting-edge Analog Processing Units (APUs) utilizing unique analog compute-in-memory technology. This innovative approach aims to deliver highly energy-efficient and cost-effective AI inference solutions. By overcoming the memory bottlenecks inherent in traditional digital architectures, Mythic enables unparalleled performance-per-watt for AI workloads across diverse applications, including data centers, automotive, robotics, and defense industries.

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