Senior System Software Engineer - Metropolis Blueprints and Agents

Reposted 9 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing and developing Metropolis blueprints and Agentic AI solutions, ensuring quality and performance in AI applications, and collaborating with various teams for product deliverables.
Summary Generated by Built In

We are looking for a senior software engineer to contribute to our development efforts for Metropolis blueprints and Agentic AI solutions. In this role, you will be part of an engineering team designing, developing, and optimizing Nvidia Metropolis Blueprints for smart cities and industrial AI. Join us in this journey as we concretize the vision of AI transforming the way the world operates. 

 

What you will be doing: 

  • Contribute to design and development of Metropolis blueprints and Agentic AI solutions 

  • Be responsible for the quality and performance of the components you own. 

  • Collaborate with peer engineering and Product Management teams to understand and implement requirements for our products. 

  • Translate high level use cases and ideas into product deliverables across milestones. 

 

What we need to see: 

  • Masters or Bachelors degree in Computer Science, or related engineering field  

  • 8+ years of overall experience in software development 

  • Strong technical foundation and understanding of software design principles  

  • Excellent programming skills in languages such as Python and Java 

  • Hands-on experience with cloud native development and architecture 

  • Hands-on experience developing Applied AI applications using Gen AI and computer vision models 

  • Strong collaboration, communication, and documentation habits. 

  • Basic knowledge of setting up CI/CD pipelines. 

 

Ways to stand out from the crowd: 

  • Experience in developing end to end Computer Vision Applications 

  • Strong experience working with Machine Learning algorithms and time series forecasting techniques 

  • Good understanding and experience in training and evaluating deep learning models for computer vision. 

 

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

AI
Ci/Cd
Cloud Native Development
Computer Vision
Java
Python
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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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