Principal Developer Technology Engineer

Posted 4 Hours Ago
Be an Early Applicant
4 Locations
Remote
484K-839K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Work with AAA developers to optimize GPU/system performance for path-traced and neural rendering, develop and tune neural rendering algorithms and AI models, profile and optimize low-level performance, collaborate with architecture and driver teams, and create demos, papers, and presentations for conferences.
Summary Generated by Built In

For two decades, NVIDIA has 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 PC games, movie production, product design, medical diagnosis, scientific research and all things AI. Today, AI and visual computing are becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team.

We are now 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.

What you’ll be doing:

  • Collaborate with some of the most innovative, leading AAA developers throughout the world to optimize GPU and system performance, to ensure the fastest and most fluid gameplay with beautiful path traced neural rendering and complex AI behaviors.

  • Develop, profile, optimize, and tune neural rendering algorithms and AI models to make the most of available computing resources.

  • Collaborate with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures.

  • Play with the latest GPU technology to develop new techniques using GPUs, build technical demos, write whitepapers and present your work at conferences.

What we need to see:

  • Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • You have 15+ years of relevant work experience or research.

  • Proficiency in C++ with strong software development, optimization, debugging skills, and a strong software engineering background.

  • Very strong math skills, including linear algebra and calculus for problem-solving and performance modeling.

  • Excellent knowledge of real-time graphics and GPU technologies (real-time rendering algorithms including ray/path tracing, shaders, shading languages, and APIs such as DirectX or Vulkan).

  • Hands-on experience with low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • A solid understanding of AI fundamentals with the ability to not only use AI tools for programming productivity but also to design new solutions.

  • Good communication, organization and prioritization skills.

  • Open to travel for on-site visits with developers and for conferences.

Ways to stand out from the crowd:

  • Professional experience in machine learning algorithms and applications.

  • Experience optimizing inference and training workloads.

  • Solid understanding of Neural Graphics techniques.

  • Experience with Windows or Linux driver development.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 483,750 PLN - 838,500 PLN.

Skills Required

  • Master's degree in Computer Science, Computer Engineering, or related computationally focused science (or equivalent experience).
  • 15+ years of relevant work experience or research.
  • Proficiency in C++ with strong software development, optimization, and debugging skills.
  • Very strong math skills, including linear algebra and calculus for problem-solving and performance modeling.
  • Excellent knowledge of real-time graphics and GPU technologies (real-time rendering algorithms including ray/path tracing, shaders, shading languages, and APIs such as DirectX or Vulkan).
  • Hands-on experience with low-level performance optimizations.
  • In-depth expertise with CPU and GPU architecture fundamentals.
  • Solid understanding of AI fundamentals and ability to design AI-based solutions.
  • Good communication, organization and prioritization skills.
  • Willingness to travel for on-site developer visits and conferences.
  • Professional experience in machine learning algorithms and applications.
  • Experience optimizing inference and training workloads.
  • Solid understanding of Neural Graphics techniques.
  • Experience with Windows or Linux driver development.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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