NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today.
Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our System Level Product Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation on some of the industry's most complex semiconductor chips. If you're creative and autonomous, we want to hear from you! At NVIDIA, you will have the opportunity to shape some of the most incredible products on the market today from products like DGX-1, P100, the Shield to Tesla for Data Centers. Your work will touch every industry - from medical, to auto, to robotics and more.
Want more jobs like this?
Get jobs in Hsinchu, Taiwan delivered to your inbox every week.
By submitting your resume, you're expressing interest in our 2025 RDSS (Research and Development Substitute Services)program. Please confirm your eligibility with the local district office before applying the role
What you'll be doing:
- As a member of our system level product engineering group, you will be responsible to develop and improve all aspects of testing NVIDIA's state of the art GPU products.
- Your duties include characterization, yield enhancement, spec validation, customer failure improvement, and addressing the production issue .
- Expect to interface with other engineering groups to resolve silicon issues.
- Initiate and drive process improvements and preventative actions, possibly through root cause analysis.
- It is imperative that this individual always looks to improve work, products, functions and methodologies through an on-going analysis while communicating and sharing new information and methods with cross-functional team members to achieve the company goals.
What we need to see:
- Master's degree in Electrical Engineering
- Be self-motivated with strong technical, interpersonal, written/oral communication skills
- Have problem solving experience/ability
- Be able to quickly become a strong contributor both as an individual and as a member of highly productive team
- Having Python or any other scripting experience is a plus.
- Knowledgeable with PC architecture, AGP/PCIe busses and SDRAM/DDR is a plus
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.