Invent the Future with Us.

NVIDIA Job Description | 1

Your Future Starts Here

NVIDIA pioneered accelerated computing to tackle challenges no one else can

solve. Our work in AI and digital twins is transforming the world's largest

industries and profoundly impacting society — from gaming to robotics, self-

driving cars to life-saving healthcare, climate change to virtual worlds where we

can all connect and create.

Find Your Perfect Fit

There are endless opportunities at NVIDIA, and you have the freedom to explore

them all. It is all about landing where you are the most valued, challenged, and

inspired in your work.

Below are general hiring areas for NVIDIA. Check out where your skills fit and

search for your area of interest at www.nvidia.com/university

Credit: Lorem Ipsum

NVIDIA Job Description | 2

Hardware

ASIC Design

> Digital Systems, Digital Design, VLSI Design or Real-Time Logic

(RTL) Design

> Computer Architecture, Computer Arithmetic, Object-Oriented

Programming, CMOS Transistors, Circuits

Programming Skills & Technologies: Verilog, SystemVerilog, VHDL, Perl,

TCL, C, C++, Linux

Verification

> Formal Verification, GPU or processor Verification or Validation

> Digital Systems, Digital Design, VLSI Design or Real-Time Logic

(RTL) Design

> Random functional testing, writing test plans, directed/

random diagnostics

> CPU Architecture, Computer Architecture, Software Infrastructure

(for validation of architecture)

Programming Skills & Technologies: Verilog, SystemVerilog, VHDL, UVM,

Python, Perl, TCL, C, C++, Linux

Physical Design/VSLI

> Synthesis, Static Timing Analysis, Clock/Power Distribution and Analysis,

RC Extraction and Correlation, Place and Route, Circuit Design

> VLSI, Computer Architecture, Digital/Micro Electronics, Mixed-Signal

Design, Digital Design, Logic Design

> CAD and Physical Design Methodologies (flow and tools development),

as well as implementation

> Chip Floor Plan, Power/Clock Distribution, Chip Assembly and P&R,

Timing Closure, Power and Noise Analysis, and Back-End Verification

Programming Skills & Technologies: Perl, C, C++, TCL, Linux, Scheme,

Python, SKILL, Make, ICC2, Design Compiler, PrimeTime (Synopsys, First

Encounter), Innovus, Virtuso (Cadence)

Architecture

Computer Architecture

> Computer Architecture experience in one or more of these focus areas:

Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming,

Memory Architecture, or High-Performance Computing Systems

> Digital Systems, VLSI Design, Computer Architecture (GPU or CPU

Architecture), Computer Arithmetic, CMOS Transistors and Circuits

Programming Skills & Technologies: Verilog, SystemVerilog, VHDL, Linux,

C, C++, Perl

Deep Learning Computer Architecture

> Computer Architecture experience in one or more of these focus areas:

GPU Architecture, CPU Architecture, Deep Learning, GPU Computing,

Parallel Programming, or High-Performance Computing Systems

> GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks

(PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

> Deep Learning, Modelling/Performance Analysis, Parallel Programming

Programming Skills & Technologies: C, C++, Python, Perl, CUDA,

OpenCL, PyTorch, TensorFlow, TensorRT, Linux

NVIDIA Job Description | 3

Systems Software

System Software

> Operating Systems (Threads, Process Control, Memory/Resource

Management, Virtual Memory)

> Multithreaded Debugging, Linux Kernel Development, RTOS

Development on Embedded Platforms, Data Structures & Algorithm

time/space complexity

Programming Skills & Technologies: C, C++, Linux

Graphics Systems Software

> Computer Architecture, Operating Systems, Real-

Time Systems Development,

Device Driver Programming, Game Console Middleware, or other Low-Level

Library Development Building Cloud and On-Premise Infrastructure for back-

end analytics

> 3D/2D Graphics Theory, Implementation & Optimizations, Simulation or

Emulation experience (writing & debugging tests)

Programming Skills & Technologies: C, C++, CUDA, x86, ARM CPU, GPU,

Linux, Direct3D, Vulkan, OpenGL, OpenCL

Compiler

> Compiler Development, Open Source Programming, High-Performance

Computing (HPC)

Programming Skills & Technologies: C, C++, CUDA, Linux, Open Source Tools

(CLANG, LLBM, gcc), Testing Production/Automation Tools (XLA, TVM, Halide)

Firmware & Embedded Software

> Operating Systems (Threads, Process Control, Memory/Resource

Management, Virtual Memory), Embedded Systems Software Development

> Data Structures & Algorithms, Computer Architecture, Computer Systems

Software, Linux Kernel Development, Multi-Threaded or Multi-Process

Programming, RTOS Development on Embedded Platforms

Programming Skills & Technologies: C, C++, CUDA, Perl, Bash/Shell

Scripting, Linux

Software Security

> Operating Systems, Data Structures & Algorithms, Cybersecurity,

Cryptography, Computer Systems Architecture, Microcontroller and

Microprocessor fundamentals (Caches, Buses, Memory Controllers,

DMA, etc.)

Programming Skills & Technologies: C, C++, Spark, Frama-C, Python,

Bash/Shell Scripting, Linux, Formal Verification Tools (Spark, Frama-C),

Automated Security Testing & Fuzzing Tools (AFL, libFuzzer), Data Processing

(Kibana, Grafana), CI/CD (Jenkins)

NVIDIA Job Description | 4

Software

Development Tools

> Linear Algebra & Numerical Methods, Operating Systems (memory/resource

management), Scheduling and Process Control, Hardware Virtualization

Programming Skills & Technologies: Java, Python, Testing Methodologies

(Jenkins), GUI Technologies (AngularJS, Web Services, SOAP/REST), Relational

Databases (MySQL, NoSQL, Elastic Search, MongoDB, HBase), Systems

Administration (Windows, Linux)

Cloud

> Distributed Systems, Data Structures & Algorithms, Virtualization,

Automation/Scripting, Container & Cluster Management, Debugging

Programming Skills & Technologies:

Java, Go, C++, SPARK, RAPIDS, REST API,

CI/CD, Container Tools (Docker/Containers, Kubernetes), Infrastructure

Platforms (AWS, Azure, GCP)

Tools Infrastructure

> Operating Systems, Distributed Systems, Micro-Services Architecture,

Logic, Simulation

> GPU Development - modeling, analyzing, and debugging GPU hardware

for performance

> Chip Design, Validation, and Workflow - software design and validation

for chips to support hardware

> Metrics, Process Management, and Compute Infrastructure -

distributed/scalable applications to enable the chip design process

Programming Skills & Technologies: Java, JavaScript, Unix/Shell Scripting,

Graphics & GPU APIs (Vulkan, DirectX, OpenGL, CUDA, OpenCL), Data

Processing Tools (ElasticSearch, Kibana, Grafana, MongoDB), CI/CD (Jenkins),

C++, CUDA, OOP, Go, Python, GitLab, Linux

Data Science

> Data Science, Data Engineering, Open Source Data Science Tools, Open

Source Libraries

> Building Cloud and On-Premise Infrastructure for back-end analytics

Programming Skills & Technologies: Python, C, C++, Data Technologies

(Kafka, ELK, Cassandra, Apache Spark)

NVIDIA Job Description | 5

Artificial Intelligence and Deep Learning

Autonomous Vehicles

> Computer Vision, Mapping, Localization, SLAM, Image Processing,

Segmentation

Programming Skills & Technologies: C, C++, CUDA, Python, Linux, Sensor

Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow,

Keras, PyTorch)

NVIDIA Projects: DRIVE

Deep Learning Applications & Algorithms

> Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer

Vision, Software Design, Computer Memory (Disk, Memory, Caches), CPU and

GPU Architectures, Networking, Numeric Libraries, Embedded System Design

and Development, Drivers, Real-Time Software

Programming Skills & Technologies: C, C++, CUDA, Python, Linux, Deep

Learning Frameworks (PyTorch, TensorFlow)

NVIDIA Projects: Riva (Conversational AI), Metropolis (Smart Cities),

Clara (Medical Imaging), and more

Deep Learning Frameworks & Libraries

> Computer Architecture (CPUs, GPUs, FPGAs or other accelerators),

GPU Programming Models, Performance-Oriented Parallel Programming,

Optimizing for High-Performance Computing (HPC), Algorithms,

Numerical Methods

> Building underlying frameworks and libraries that accelerate Deep Learning

on GPUs

Programming Skills & Technologies: C, C++, CUDA, TensorRT, Python, Linux,

Docker Containers, CPU, GPU, FPGA

NVIDIA Projects: Deep Learning Frameworks, TensorRT, cuDNN

Robotics

> Robotics, Autonomous Vehicles, Validation Frameworks for Machine

Learning/Deep Learning, Operating Systems and Data Structures (threads,

processes, memory, synchronization), Physics Simulation, Simulators,

Computer Graphics, Version Control, Computer Vision, Cloud Technologies

Programming Skills & Technologies: C, C++, CUDA, ROS, Python,

OpenGL, Linux

NVIDIA Projects: Isaac SDK, Isaac Sim, Omniverse, Jetson AGX Xavier

Machine Learning

> Machine Learning, Deep Learning, Accelerated Computing, GPU Computing,

Deep Learning Frameworks, NVIDIA RAPIDS

Programming Skills & Technologies: C, C++, PyTorch, TensorFlow,

TensorRT, Linux

NVIDIA Job Description | 6

Research

(PhD Required)

> PhD candidacy in CE, EE, CS, Mathematics, Physics, Signal Processing,

Statistics, Neuroscience, or equivalent research experience in those fields

> Track record of research excellence with a strong publication record

> Research Application Areas: Parallel Algorithms, Parallel Programming

Systems, Computer Vision, Robotics, Natural Language Processing (NLP),

or Recommender Systems

Programming Skills & Technologies: C, C++, CUDA, Linux, PyTorch,

TensorFlow, Python, MATLAB

Check out Research Application Areas here

Applied Research

(BS, MS, PhD)

> Applied Research Areas: Deep Learning Theory and Applications to Natural

Language Processing (NLP), Computer Vision, Graphics, Speech,

Reinforcement Learning, or another relevant domain

Programming Skills & Technologies: C, C++, PyTorch, TensorFlow,

Python, Linux

Business Operations

(MBA)

> Product Management, Marketing, Finance, and Operations across

multiple teams

What We Do

Autonomous Machines Gaming and Entertainment

Cloud and Data Center Healthcare

Deep Learning and Artificial Intelligence High-Performance Computing

Design and Pro Visualization Self-Driving Cars

Where We Work

> Austin, TX

> Bethesda, MD

> Boulder, CO

> Champaign, IL

> Durham, NC

> Hillsboro, OR

> Holmdel, NJ

> New York, NY

> Redmond, WA

> Santa Clara, CA

> Seattle, WA

> Westford, MA

> Toronto, Canada

Ready to Get Started?

For

more, visit www.nvidia.com/university

A Truly Inclusive Culture

Everyone is welcome. Every background offers a new perspective that can only help us grow smarter and better.

Everyone has a voice. Great ideas drive us, no matter who or where they come from.

Early Talent Programs

Internships

Whether you’re pursuing a BS, MS, PhD, or MBA, we have year-round internships available—for a minimum of 12 weeks—

with great benefits.

NVIDIA Intern, Ignite, and MBA programs make this a great place to kickstart your journey and take part in meaningful work,

making an impact on the next generation of innovation. You’ll make a difference on real projects, working side by side with some

of the industry's brightest minds, and gain hands-on experience with never-before-seen technologies and developments.

New College Graduate (NCG)

Our NCG program, gives you the opportunity to influence areas ranging from high-performance computing and graphics

to edge computing, networking, and autonomous machines. We provide great benefits that include ESPP, tuition

reimbursement, continuous learning and development programs, paid time off, and more.

How to Apply

1. Explore University Opportunities. Check out our general hiring areas above to see where your skills and interests may fit.

Search for your area of interest at www.nvidia.com/university and submit a resume!

2. Get Noticed. Make sure your resume aligns with the area you’re interested in. For our technical and engineering

opportunities, our teams like to see your technical and programming skills through past internships, relevant coursework,

and cool projects.

3. Stay Connected. Once your resume has been submitted, we have a dedicated team to review profiles who can help match

your skills to areas of interest and/or direct openings.

4. We have new roles opening through-out the season. If there’s a fit, our recruiting team will reach out with next steps.

5. In the meantime, follow us on LinkedIn, Instagram and NVIDIA Blog to stay connected!