What you'll be doing:
You will be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra)
Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies.
Work closely with physical/layout engineers to floorplan and implement physical design of these functions.
Support debug, characterization and support product through high-volume production.
What we need to see:
MSEE or PhD in Electrical Engineering.
Proven understanding of analog circuit layout concepts in submicron CMOS technologies
You have interests in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC.
Able to communicate in spoken and written English
Work effectively in a team, good communication skills, enthusiasm and positive energy.
Proficiency in scripting languages like perl, python, skill etc.
Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA)
You are an expert with Cadence custom circuit design tools - particularly virtuoso
Experience running and debugging DRC and LVS with verification tools
If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for 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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Similar Jobs
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
