Nbu Manufacturing Test Engineer

NVIDIA NVIDIA · Semiconductors · Hanoi, Vietnam

NVIDIA is seeking a Manufacturing Test Engineer to design tools for product definition, data collection, test case execution, and results analysis. The role involves driving NBU diagnosis, analyzing test issues, qualifying equipment, and automating NBU product testing using AI and machine learning techniques. The engineer will also provide feedback on debug tools and support NBU product test setup.

What you'd actually do

  1. Help design tools to automate product definitions, data collection, test case execution, and results analysis
  2. Drive NBU diagnosis and analyze test issues at NBU products level with hardware, software, and operations engineering teams.
  3. Qualify equipment/fixture and tooling for NVIDIA MFG usage model
  4. Data automation and tool generation. Co-work with CM to realize NBU products test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation
  5. Assist, develop, and provide feedbacks on NBU products MFG debug tools to NBU NPI-SW team members

Skills

Required

  • BS or MS background in EE,CS, Automatic Control, Systems Engineering with 5+ years of related experience
  • Hands-on experience with lab tools (oscilloscopes, multimeters)
  • Deep knowledge of low-level software drivers and kernel
  • Ability to debug at board level and usage of probing hardware
  • Self-motivated and able to work effectively across different functional teams.
  • Excellent written and oral communication skills in English

Nice to have

  • Experience with MCU/FPGA program/debug would be a plus
  • Experience in x86 assembly and knowledge of the PC architecture and power management
  • Familiarity in VB or Shell, JAVA, Perl, Python script programming
  • Your experience in test plan, failure processing, and test program development
  • Experience with running system level diagnostic tests and deeper understanding of the purpose of those tests

What the JD emphasized

  • deploy AI for NVIDIA production automation
  • deep learning
  • machine learning
  • data analytics

Other signals

  • deploy AI for NVIDIA production automation
  • study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics