Wafer Level Test Engineer/Lead
Lyte · Taiwan
Roboticsonsitesenior
At a glance
Highlights
- Own wafer-level test for custom mixed-signal CMOS chips powering Lyte products.
- Bring up first silicon from debug and characterization to volume production.
- Help pioneer optical wafer-level test methods as programs mature and scale.
What they offer
- Competitive salary and equity
- Flexible vacation and time-off policy
- Collaborative, fast-paced, and inclusive work environment
- Opportunity to work on cutting-edge technologies with a highly cross-functional team
Ideal candidate
Hands-on silicon test owner who thrives working independently at Taiwan partner sites. You care about yield, rigor and traceability, and enjoy bridging US design teams with local production to ramp cutting-edge perception chips.
Requirements
- Bachelor's degree in Electrical Engineering, Electronics, Computer Engineering, Physics, or a related field
- 5+ years of hands-on ATE test program development for mixed-signal CMOS ICs, including direct wafer-level (CP / wafer sort) experience
- Hands-on experience with Advantest V93000 (SmarTest) and/or Teradyne (UltraFLEX, J750, or similar) platforms
- Working knowledge of BIST/DFT test methods and OTP/eFuse trimming at wafer level
- Experience validating test programs pre-silicon in collaboration with chip design teams
- Proven experience maintaining production test programs and supporting OSATs or test houses, including program transfer and correlation
- Programming in C/C++ and/or Java (SmarTest) or VB/VBT (IG-XL)
- Solid data analysis skills: STDF, wafer maps, yield Paretos, Cp/Cpk, and GR&R
- Disciplined documentation, version control (e.g., Git/SVN), and change-management practices
- Strong written and spoken English plus Mandarin fluency to work with HQ and local partners
- Ownership mindset, able to work independently at partner sites with travel within Taiwan and Asia
Lab profile
About Lyte
Building perception infrastructure for robotics and Physical AI with custom silicon, sensors, and software.
What they build
- Perception systems for robotics, mobility and automation
- Electro-optical sensing modules
- Robotic hardware platforms
Known for
- Robot perception, state estimation and planning
- Learning-based behaviors and autonomy stacks
- Signal-processing algorithms for FPGA, GPU and silicon
- Mixed-signal ASICs, photonics and DSP hardware
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