Manager, ATE Test Development
NVIDIAJob Title
Manager, ATE Test Development
Role Summary
Manage an ATE Test Engineering team responsible for transferring LPU products from design to mass production, developing ATE test and automation solutions, and improving yields, test coverage, capacity, and cost. Collaborate with product, design, and overseas manufacturing teams to support production and new product introduction.
Experience Level
Senior — 8+ years of relevant ATE testing experience with at least 4 years of team leadership or management experience.
Responsibilities
Lead the development and execution of production test strategies, automation, and cross-functional improvements.
- Lead a team developing test and automation solutions for chips and assembled boards.
- Define test strategies and roadmap; identify and prioritize opportunities for improvement.
- Drive cross-functional workflow improvements including automation, simulation, and AI-assisted tools.
- Provide technical mentorship and strategic direction for the team.
- Develop and track KPIs to measure test process effectiveness and efficiency.
- Collaborate with product, design, and manufacturing teams to support new product introduction activities.
- Partner with overseas manufacturing teams to increase yields, coverage, and capacity, and to reduce production costs.
Requirements
Core technical and leadership requirements; candidates should meet the must-haves and ideally several of the nice-to-haves.
- 8+ years of ATE testing experience, with emphasis on SRAM testing.
- Minimum 4 years of experience leading engineering teams.
- Hands-on experience with Advantest 93K ATE platform and SmarTest 8 (critical).
- Strong debugging, analytical, and problem-solving skills.
- Understanding of DFT insertion techniques such as SCAN, ATPG, MBIST, and IOBIST.
- Strong communication, critical thinking, leadership, and collaboration skills.
Nice-to-have:
- Knowledge of active thermal management.
- Product engineering experience: yield analysis, vmin/fmax characterization, defect analysis.
- Teradyne UFlex experience.
- Experience using AI-assisted workflows (e.g., ChatGPT, Claude, Cursor) to improve efficiency.
Education Requirements
Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
