Principal Developer Technology Engineer

at Nvidia

📍 Germany

PLN 483,800-838,500 per year

SENIOR

✅ Remote ✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 8 Algorithms @ 8 Communication @ 6 Debugging @ 7 GPU @ 8 Linux @ 4 Machine Learning @ 4 Mathematics @ 7 Prioritization @ 6 Software Development @ 7

Details

NVIDIA is looking for a Principal Developer Technology Engineer to focus on advanced rendering, including path tracing and neural graphics, and the broader adoption of AI technology in games.

Responsibilities

Collaborate with innovative AAA developers worldwide to optimize GPU and system performance, enabling fluid gameplay with path-traced neural rendering and complex AI behaviors.
Develop, profile, optimize, and tune neural rendering algorithms and AI models to maximize available computing resources.
Collaborate with NVIDIA architecture and driver teams to ensure the best experience on current-generation hardware and help determine trends and features for next-generation architectures.
Work with the latest GPU technology to develop new techniques, build technical demos, write whitepapers, and present work at conferences.

Requirements

Master's degree in Computer Science, Computer Engineering, or a related computationally focused science degree, or equivalent experience.
15+ years of relevant work experience or research.
Proficiency in C++ with strong software development, optimization, and debugging skills, along with a strong software engineering background.
Very strong mathematics skills, including linear algebra and calculus for problem-solving and performance modeling.
Excellent knowledge of real-time graphics and GPU technologies, including real-time rendering algorithms such as ray tracing and path tracing, shaders, shading languages, and APIs such as DirectX or Vulkan.
Hands-on experience with low-level performance optimizations.
In-depth expertise in CPU and GPU architecture fundamentals.
Solid understanding of AI fundamentals, including the ability to use AI tools for programming productivity and design new solutions.
Good communication, organization, and prioritization skills.
Willingness to travel for on-site visits with developers and conferences.