Jobs In Santa Clara, California

Software Engineer – Robotics

We are now looking for a Software Engineer (New College Grad) for our Robotics team!

For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU – the engine of modern visual computing – the field has expanded to encompass video games, movie production, research, and autonomous machines.

The team around Project Isaac is building a robotics platform for developing the next generation of intelligent robots. Isaac is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to tackle hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens different fields, and together we want to change the way how robots are programmed.

Simulation Support Engineer – Robotics

The NVIDIA PhysX SDK team is hiring! We are looking for engineers to do technical writing, Quality Assurance, and technical support for customers in machine learning, industrial simulation and robotics fields. You will work alongside a globally distributed team of simulation authorities, game developers, robotics researchers, and 3d content creators to realize our vision of the future of real time simulation and collaboration.

Automation Engineer – Cloud

The NVIDIA PhysX SDK team is hiring! We are looking for engineers to maintain our development team’s continuous integration infrastructure and to move our simulation services into the cloud. You will work alongside a globally distributed team of simulation authorities, game developers, robotics researchers, and 3d content creators to realize our vision of the future of real time simulation and collaboration.

Software Intern, Robotics – Summer 2020

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, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world.

What you’ll be doing:

You will work with ground breaking embedded computing technologies for the Tegra SoC and Jetson Embedded Platform

Contribute broadly to advance the capabilities of the Jetson Developer Kit and developer experience for mobile and embedded computing; demonstrating your thorough understanding of Linux, from kernel through applications, packaging and distributions

Create software to accelerate key technologies such as deep learning and neural networks, for use in autonomous vehicles, robotics and analytics

Collaborate with a team of hardware, system and software engineers

Software Intern, Compiler – Winter/Spring 2020

NVIDIA’s invention of the GPU 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, we are increasingly known as “the AI computing company”.

We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you : a Computer Science or Computing Engineering grad student to support our NVIDIA Back End Compiler Team for a 16 week internship.

Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA’s current and future complex parallel SIMT architectures.

Senior Solution Architect – Robotics

We are now looking for a Senior Robotics Solution Architect:

NVIDIA’s deep learning platforms have already made a major impact to the field and are broadly used across leading academic institutions, start-ups, and industry. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities. This Senior Robotics Solution Architect role is for an individual striving to contribute to the innovation laden field of robotics and autonomous machines and be a technical leader to our customers who believes that deep learning, and artificial intelligence is a new computing revolution and has the potential to help transform the industry.

NVIDIA is searching for an extraordinary Senior Solution Architect with a focus on Robotics and AI. Your primary responsibilities will be to inspire our customers and collaborate with them in applying NVIDIA’s platforms for deep learning, autonomous machines, and HPC. You will be working cross functionally with our organizations as well as ensuring a positive experience for external customers.

You should be comfortable working in a dynamic environment, and have experience working with embedded systems and robot software design, machine learning and virtual worlds for development and training of robot simulation and training environments. You will use your system and application knowledge to provide support for AI&HPC solutions, NVIDIA SDKs, and our embedded platforms in customer systems. Excellent communication skills and ability to work independently are essential, as well as the ability to pick up new technologies and skills. Experience with game engines like UE4 and Unity is a plus.

We're sorry, there are currently no jobs listed in this location.