Senior System Software Engineer, Metropolis AI Workflow

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office
50K-130K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop hardware-accelerated solutions using deep learning and AI technologies. Design AI pipelines, optimize scalability, and ensure software quality in a collaborative environment.
Summary Generated by Built In

We are now looking for a Senior Software Engineer, Metropolis AI Workflow! 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 Vision-Language Model (VLM) inference pipelines and Omniverse-based simulation technologies among various exciting Vision AI technologies and have broad impact within our highly dynamic and technology-focused company.

What you’ll be doing:

  • You will design and develop accelerated streaming AI pipelines using CV and VLM models and lead technical design discussions

  • Evaluate and test the AI pipelines using Omniverse-based simulation, digital twin, and synthetic dataset for qualitative and quantitative analysis 

  • 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

  • 5+ 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 simulation technologies including Omniverse, Unreal, Unity, etc.

  • 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.

Top Skills

C++
Cv
Docker
Kubernetes
Linux
Microservices
Omniverse
Python
Vlm
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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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