About the role
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
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.
When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.