Senior Engineer - NGX OTA and SDK

Posted 19 Hours Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop OTA systems and SDKs for games, lead development efforts, and ensure code quality across multiple platforms.
Summary Generated by Built In

NVIDIA is looking for exceptional engineers to join our AI for Games and Innovation team. We build and scale technologies like NVIDIA DLSS, Streamline SDK, and NGX, which are integrated into hundreds of games worldwide. If you're passionate about designing and developing next-generation Over-The-Air (OTA) systems, cutting-edge SDKs, and AI-powered features that reach tens of millions of gamers, this is your opportunity to make a real impact.

What you will be doing:
  • Collaborate with internal partners to drive the development of our Over-the-Air (OTA) software update infrastructure.

  • Write clean, maintainable, and well-tested code, with support across multiple operating systems.

  • Design and develop resilient, scalable, and maintainable systems that meet high reliability standards.

  • Coordinate and lead development efforts across multiple engineering teams.

  • Build and maintain automated support infrastructure for teams applying our OTA update systems.

What we need to see:
  • Masters in Computer Engineering, Computer Science, or a related field (or equivalent experience).

  • 8+ years of experience writing robust, well-maintained C++ code.

  • Strong architectural design skills with a focus on fault tolerance, maintainability, and security.

  • Solid understanding of systems software engineering, including security, networking, caching, and scalable infrastructure.

  • Experience working with cloud platforms such as AWS or Google Cloud.

  • Proven ability to build automated systems, including continuous deployment pipelines

  • Experience with container orchestration systems such as Kubernetes

Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason, and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is known as “the AI computing company.”

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 25, 2025.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

AWS
C++
GCP
Kubernetes
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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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