Jobs at Nvidia in China, Shenzhen

Materials Planner in ourQuick Turn/NPI Materials Organization. The position requiresexceptional materials management skills and supply planningof procurement, planning, and contract manufacturing supply chain inmultinational manufacturing

What you'll be doing:

• This person is responsible for providing the project lifecycle development process from project kickoff to production release.

• Manages multiple complex programs that support the development of new board-level graphics card products.

• Coordinates project activities; assigns tasks and provides mentorship to specific functions of the project.

• Lead project execution meetings, weekly communications, and coordinate peers and operations with specified objectives; conduct project review and create detailed reports for execution teams, and call out to management as needed.

• Initial and develop a comprehensive project schedule, ensure key deliverables align to BU key achievements for the TTM launch.

• Work with design /validation and cross-function teams to ensure quality assurance activities; coordinate global resources and give direction and support to project teams.

• Identify threats impact to projects, tackle day-to-day project problems and provide mitigation strategies quickly.

• Leading changes, develop a revised project scope when project POR changed, monitor and track progress to minimize project risk.

• Key participant in after-action review activities, discuss and drive process changes as needed, implement lesson learned at the end of each project.

• Provide a continuous review of validation sample forecast, and monitor sample delivery to internal and external.

What we need to see:

• Bachelor’s degree in business, electrical engineering or a related field, or equivalent experience.

• 5 years of project management and related experience.

• Proven ability to solve problems creatively.

• Strong familiarity with project management software tools, methodologies, and best practices.

• Excellent oral and written communication skills, strong interpersonal skill.

NVIDIA is looking for talented and creative Thermal Engineering student
What you'll be doing:

• Product thermal design and thermal/mechanical definition for next generation products.

• Manage the development, specifications, design and manufacturing for your thermal solutions, i.e. heat sinks, interface materials, structures, fan, acoustics, thermally related ergonomics, enclosures, etc.

• Prepare early design concepts and drive product thermally related design trade-offs

• Research new materials, processes, and technologies to meet product goals

• Support manufactory side thermal related issues debug and drive for solution.

• Work with global team from concept design to manufacture and quality issue.

What we need to see:

• Must be pursuing a MS in thermal and Mechanical Engineering

• Exposure and proficiency with at least one heat transfer and thermal engineering analysis SW tool (e.g. IcePak, FloTHERM, Fluent)

• Strong communication skills in English

Ways to stand out from the crowd:

• Major in Thermodynamics and/or Heat Transfer

• Knowledge of Design for Manufacturing (DFM) principles and techniques

• Intermediate knowledge Level on MS Word, PowerPoint, Excel

• Academic knowledge: Statistics, Mechanics of Materials

• Fluent in English

What you'll be doing:

• Drive board/system level signal and power integrity requirements

• Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis

• Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis

• Develop novel algorithms & new methodologies to improve SI/PI modeling efforts

• Work with Application Engineering teams to support customers w/ SI/PI questions

• VNA & TDR measurements to support model correlation efforts and improve confidence in design stage

What we need to see:

• MS/BS in EE or equivalent experience

• Minimum 5+ years of experience as a SI/PI engineer

• Deep understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties

• Proficient with HFSS, Sigrity, Hspice, and/or other simulation tools

• Experienced with Cadence Allegro PCB designer and Constraints Manager

• Understanding of high volume manufacturing variations and impact to channel signal integrity

• Exposure to lab measurements including VNA & TDR experience

• Passionate about SI/PI work

• Good written & verbal interpersonal skills in English

Ways to stand out from the crowd:

• Familiarity with NRZ/PAM-4/Duo-binary signaling schemes

• Exposure to interface timing budgets and system modeling

• Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes

• PDN analyses including model generation and time domain simulation

• Experience w/ Matlab, Python, and C as well as exposure to package design

You need to work independently and be highly self-motivated. You should drive issues with little or no supervision. A key success for this position is not only a thorough understanding of NVIDIA DRIVE platform hardware and software stack, but also a solid grasp of customer system and data pipeline design, and various requirements. Excellent communication skills, flexible in task assignments and working under pressure are also indispensable.

What you'll be doing:

• You will have good opportunity to work on the leading-edge technology of autonomous driving.

• Closely communicate and work with NVIDIA DRIVE customers, find out how to technically satisfy customer requirements.

• Software development on NVIDIA DRIVE SDKs, deep knowledge on the SDK functionalities and performance. deeply understand various vehicle sensors including Camera, Lidar, Radar, GPS and so on.

• To support customers more efficiently, you will work with internal global teams to align customer's requirements and SDK development status.

• Master's degree or higher in Computer Science, Software Engineering, or a related field.

• 3+ years of embedded, robotic, or automotive software development work experience.

• Excellent C and C++ skills.

• Experience in at least of the following technical domain: camera capture, ISP processing, image 2D, rendering, display, encoding .

• Good English language skills to work effectively with global development and support team.

• Know about modern autonomous driving operation system scheduling policy, threading, synchronization, and parallel computing to build highly scalable and stable applications.

• Self managing and ability to break down complex problems in to manageable tasks

• Experience in developing system software mostly in user space but also feel comfortable in digging into kernel space and low-level drivers.

What you’ll be doing:
build/maintain/fine-tunequantitatively analyzing models to conduct data mining for Predictive NPI to improve the performance of mass production proactively, which includes:

• Participate in SW tool development for monitoring the status of mass production, managing bonepile, accelerating failure analysis and raising risk alert

• Design data visualization for regular reports

• Develop and maintain correlate SW tools and database at an as-needed basis.

• Collaborating with Info Security team for tools deployment at factories.

What we need to see:

• Bachelor or Master of CS/EE/Math, or equivalent experience.

• 5+ years working experience.

• Well understand data analytics principles and network security.

• Master SQL, familiar with using Python to do data cleaning & analyzing.

• Profound experience on data visualization and Mysql database usage.

• Master HTML and CSS (Bootstrap), Javascript and jquery programming.

• Very good at OOP programming of PHP.

• Able to quickly understand the business and discover the connections between business & data.

• Experience in Python

• Proficient English.

Ways to stand out from the crowd:

• Have both hardware and software background especially in factory environments.

• Machine Learning/Deep Learning training and/or experience with Pytorch/Tensorflow is preferred

• Well know the principle of Shift Left.

What you will be doing:

• Design responsibility for the creation of new products designed around our GPUs, DPUs and CPUs to cover Graphics, Self-driving platform, Server, and Data center.

• The LDE drives every aspect of design execution, initial test and bring-up, manages documentation required to release the product to manufacturing and partners, and is the main interface to theSilicon/Thermal/Mechanical/SI/EMCengineers.

• The scope of the LDE role has been carefully tailored to allow these individuals to consistently deliver world class product quality on a SOL schedule, while applying great attention to detail and quality of execution.

• Research the new feature/circuits and involve theestablishment/discussionof industry standards, then implement them on the next generation product/platform design.

What we need to see:

• You will be completing your bachelor’s or master’s degree in Electrical Engineering or Computer Science or Computer Engineering

• Knowledgeable in high-speed signal design rules and basic power design methodologies

• Proficiency in digital/analog circuit simulation and fault diagnosis.

• You have exposure or internship experience with design tools (Multisim or equivalent simulation tools, design tools like Cadence, Concept, OrCAD).

• Your work displays your passion for circuit development and strong problem-solving skills

• Strong communication and interpersonal skills are required

Ways to stand out from the crowd:

• Prior hardware design experience related to high-speed subsystem design or DC-DC power module design is a huge plus.

• Familiarity with Graphic card or Autonomous driving subsystem industrial standard such as PCI Express protocols, memory management, automotive design rules, high-speed IO protocols and/or on-chip interconnect.