Arbe is leading a RADAR REVOLUTION, driving a zero-road-fatality reality by enabling truly safe driver-assist systems, and paving the way for a fully autonomous-driving future. The next level of road safety is dependent upon a vehicle’s ability to ‘sense’ the world around it. Arbe’s unparalleled 4D high-resolution imaging radar is disrupting the automotive industry by redefining what’s possible. Join our team of technologists, radar specialists, and scientists to make zero road fatalities a reality, for everyone.
We are seeking an IC Product Engineer to drive silicon validation, yield optimization, and product maturity from initial tape-out through high-volume manufacturing. In this role, you will act as the technical bridge between Design, Test, Quality, and Foundry/OSAT partners. You’ll leverage advanced statistical analysis to convert complex ATE data into actionable yield and quality improvements.ng requisitions 'from scratch'
Responsibilities- Yield Learning & Optimization: Drive wafer-level and final test yield enhancement programs. Identify root causes of yield drop, parametric shifts, and low-yield excursions across multiple manufacturing lots.
- Data Analysis & Reporting: Use JMP, Spotfire, or similar statistical tools to analyze large-scale ATE data (STDF), perform correlation analysis, establish guard bands, and track yield metrics across OSATs and foundries.
- Silicon Validation & Characterization: Partner with Design and Test teams to define characterization plans, perform shmoo plot analysis, evaluate thermal/voltage margins, and establish production test limits.
- Production & OSAT Support: Support offshore manufacturing, review yield baseline shifts, drive continuous improvement programs (CIP), and manage product hold disposition rules.
- Quality & Reliability: Assist Failure Analysis (FA) and Reliability teams in investigating customer returns (RMA), qualifying new packages/process nodes, and supporting ESD/HTOL/HAST qualification tasks.
- Experience: Minimum 5+ years of direct experience in IC/Semiconductor Product Engineering (post-silicon bring-up to high-volume production).
- Statistical Tools: Demonstrated hands-on proficiency with JMP, Spotfire, or equivalent statistical data analysis engines for handling STDF/wafer map data.
- Yield & Parametric Analysis: Deep understanding of statistical process control (SPC), baseline drift detection, capability metrics (Cpk ), and correlation methodologies (wafer vs. package test).
- Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Microelectronics, or a related field.
- Test Engineering Background: Direct experience with Automated Test Equipment (ATE) platform hardware and test program development (e.g., Advantest V93000, Teradyne Ultraflex).
- Foundry & OSAT Interface: Familiarity with fab processes, PCM/WAT data, and packaging assembly flows.
- Automation: Proficiency in scripting for data extraction and automation (Python, PERL, Tcl, or JMP JSL).
Skills Required
- Minimum 5+ years of direct IC or semiconductor product engineering experience from post-silicon bring-up through high-volume production
- Hands-on proficiency with JMP, Spotfire, or equivalent statistical data analysis tools for STDF and wafer map data
- Deep understanding of statistical process control, baseline drift detection, Cpk capability metrics, and wafer-to-package test correlation
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Microelectronics, or a related field
- Direct experience with ATE platform hardware and test program development, such as Advantest V93000 or Teradyne Ultraflex
- Familiarity with foundry processes, PCM/WAT data, and packaging assembly flows
- Proficiency in Python, Perl, Tcl, or JMP JSL scripting for data extraction and automation
What We Do
Arbe Robotics develops 4D imaging radar solutions for the automotive market. Its technology is designed to enable safer driver-assistance systems and support higher levels of vehicle autonomy. The company combines an RF chipset with a large channel array, a radar processor chip, and AI-based post-processing, providing next-generation sensing and perception for vehicles and serving as an essential sensor for L2+ and higher levels of autonomy.
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