Senior System Software Engineer - AI SDK Multimedia platform

Posted Yesterday
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops hardware-accelerated AI software for multimedia platforms, including audio, video, augmented reality, computer vision, and streaming applications. Responsibilities include designing algorithms, deploying applications across platforms, profiling and optimizing AI pipelines, addressing system-level resource challenges, and writing Python and C++ code. Requires substantial Linux software development experience, cloud-native architecture knowledge, and expertise in computer vision, machine learning, and deep learning.
Summary Generated by Built In

We are now looking for a Senior Software Engineer! Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car empowered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time--we believe the era of AI has begun.

  

In this role, you will develop hardware-accelerated solutions that enable rapid creation and deployment using the latest deep learning, artificial intelligence, and computer vision technologies. This position offers you the opportunity to collaborate within a worldwide matrixed software team focusing on core technologies for Multi-Modal and Streaming AI applications including CV and various exciting Vision AI technologies and have broad impact within our highly dynamic and technology-focused company.


What you’ll be doing:

  • Develop and maintain AI software applications for multimedia platforms.
  • Design and Implement algorithms for enhancing audio, video and augmented reality effects for media and entertainment workflows.
  • Deploy software applications across multiple platforms. Windows expertise would be a big plus.
  • Profile and optimize the AI pipelines to ensure scalability, reliability, and efficiency.
  • Take on complex system-level optimization and resource utilization challenges.
  • Participate in a product development lifecycle that values high standards for clear requirements, software quality and performance.
  • Write code in Python and C++

What we need to see:

  • B.Tech./B.E., M.Tech., or PhD in CS/CE/ Electronics degree preferred or equivalent experience
  • 8+ years of software development experience on Linux
  • Complex system design and development using Python, C++ 14/17/20, and object-oriented programming.
  • Background of computer vision, machine learning, and deep learning technologies.
  • Strong analytical skills and proven success in problem-solving and achieving performance objectives.
  • Passion for expanding your technical knowledge into new areas.
  • Ability to excel in a multinational, multi-time-zone environment: excellent communication skill (verbal & written), collaborates well, represents our core values.
  • Experience with cloud native architecture involving dockers, k8s, microservices.

Ways to stand out from the crowd:

  • Demonstrated implementation of computer vision / machine learning applications, microservices, container and cloud-native application development.
  • Experience with any multimedia pipeline frameworks.
  • Experience working with High Availability environments

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people in the world working for us. Are you a creative problem solver with a passion for solving real-world problems with AI? If so, we want to hear from you.

Skills Required

  • B.Tech., B.E., M.Tech., or PhD in Computer Science, Computer Engineering, Electronics, or equivalent experience
  • 8+ years of software development experience on Linux
  • Complex system design and development using Python, C++14/17/20, and object-oriented programming
  • Background in computer vision, machine learning, and deep learning technologies
  • Strong analytical and problem-solving skills with demonstrated performance optimization success
  • Excellent verbal and written communication skills and ability to collaborate in a multinational, multi-time-zone environment
  • Experience with cloud-native architecture, Docker, Kubernetes, and microservices
  • Experience implementing computer vision or machine learning applications
  • Experience with container and cloud-native application development
  • Experience with multimedia pipeline frameworks
  • Experience working with high-availability environments
  • Windows expertise

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.

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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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