Senior Applied Engineer, AI Graphics

Posted 6 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Applied Engineer at NVIDIA, you will develop AI Graphics technologies for cutting-edge projects, collaborating with teams to create algorithms, optimize performance, and prototype new solutions. You will leverage your expertise in real-time rendering and graphics APIs while presenting your findings and innovations at conferences.
Summary Generated by Built In

We are now looking for a Senior Applied Engineer focused on AI Graphics! NVIDIA is hiring hardworking, outstanding senior engineers to work in the Enterprise Platforms Applied Engineering team. AI Graphics will be fundamental to making amazing experiences a reality for stet-of-the-art graphics technologies Virtual Production and Volumetric Video. NVIDIA’s Omniverse platform is a foundation to cement these technologies together. This position is a chance to be a part of making all of this a reality.

What you will be doing:

Work with some of the most hardworking and ground breaking developers throughout the world and interact closely with the multiple teams, including the Omniverse, Research and Software teams at NVIDIA. Experiment with the latest GPU and networking technologies to develop new algorithms and techniques, investigate and optimize performance challenges, build prototype demonstrations of amazing new technologies and solutions. Have opportunities to write whitepapers and present your work at conferences.

What we need to see:

  • MS or PhD from a leading University in an engineering or Computer Science related subject area (or equivalent experience).

  • 8+ years of experience developing graphics and ray tracing applications.

  • Solid understanding of real time rendering techniques, algorithms, paradigms and related math

  • You'll possess solid understanding of C/C++, software design, programming techniques

  • Direct programming experience with real-time graphics APIs such as OpenGL, Vulkan and DirectX12

  • Direct experience with AI and Deep Learning.

  • Very experienced with parallel programming using CUDA C/C+.

  • The ideal candidate would also have experience developing applications and plugins using graphics engines such as UE4 or Unity

  • Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Ways to stand out from the crowd:

  • Open and flexible personality to be able to work with partners

  • Skilled in how to synthesize information to generate new insights

  • Computer-Graphics is a passion

  • Curiosity pushed you to try and experiment developing amazing real time graphical applications for personal interest

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.

The base salary range is 164,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

C/C++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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