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 tackle, 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.
Our System Level Product Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for system level test, verification and post-silicon validation on some of the industry's most complex semiconductor chips. At NVIDIA, you will have the opportunity to craft 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.
What you'll be doing:
What we need to see:
As a member of our system level product engineering group, you will be responsible to develop and improve algorithms to help make raw data useful.
Your duties include standardizing data protocols and processing, create an infrastructure to analyze manufacturing data to measure test effectiveness.
Collaborate with other engineering groups including SW and HW teams to understand the objectives and the data semantics.
You will also work on optimizing data retrieval/develop dashboard and reports and other visualizations for partners
A successful individual in this team will always look to improve and standardize data flow, create tools that are robust and work with multi-functional teams to improve data analysis efficiency.
BS degree in computer science (or equivalent experience)
At least 3 + years of relevant data engineering project experience
Experience in SQL, Amazon redshift DB, Python, ETL pipelines, Tableau,Gitlab
Be self-motivated with strong technical, interpersonal, written/oral communication skills
Have problem solving ability
Be able to quickly become a strong contributor both as an individual and as a member of highly productive team
Experience with statistical data analysis is a plus
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology industry world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, outstanding teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.