What you will be doing:
Help design tools to automate product definitions, data collection, test case execution, and results analysis
Drive LPU&GPU diagnosis and analyze test issues at the embedded/automotive products level with hardware, software, and operations engineering teams.
Qualify equipment/fixture and tooling for NVIDIA MFG usage model
Data automation and tool generation. Co-work with CM to realize embedded/automotive product test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation
Assist, develop, and provide feedbacks on embedded/automotive products debug tools to SW team members
LPU&GPU products test setup/issue(ICT and FCT) follow up if CM has any issues for Diag package and FTP document
What we need to see:
BS or MS background in EE,CS, Automatic Control, Systems Engineering with 5+ years of related experience
Experience with MCU/FPGA program/debug would be a plus
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
Ways to stand out from the crowd:
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
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
