System Software Engineering Manager

1 Month ago • 8 Years + • Artificial Intelligence

Job Summary

Job Description

Lead an engineering team designing, developing, and optimizing Nvidia Metropolis Blueprints for smart cities, industrial AI, and healthcare. Responsibilities include hands-on technical contributions to architecture, design, and development; leading, mentoring, and growing the engineering team; ensuring the quality and performance of blueprints; project planning and execution; collaborating with peer engineering, technical program management, and product management; and contributing to technology roadmaps. Ideal candidates possess strong technical foundations, experience with cloud-native development, applied AI application development, and a passion for good software design. Experience leading and mentoring teams in multifaceted environments is highly valued.
Must have:
  • Lead software engineering teams
  • 8+ years software development experience
  • Cloud-native development expertise
  • Applied AI application development
  • Strong software design skills
Good to have:
  • Generative AI and computer vision experience
  • Deep learning framework experience
  • AI service deployment experience
  • Experience with CI/CD and project management tools
Perks:
  • Competitive salary
  • Generous benefits package

Job Details

In this role, you will be leading an engineering team designing, developing, and optimizing Nvidia Metropolis Blueprints for smart cities, industrial Artificial Intelligence and healthcare. Ideal candidates will not only have experience leading software engineering teams, but also be motivated to advance the state-of-the-art in Applied AI solutions across verticals.

What you will be doing:

  • Hands-on technical lead contributing to architecture, design and development

  • Lead, mentor, and grow our engineering team developing blueprints and Agentic AI solutions in Computer Vision and

  • Be responsible for the quality and performance of our blueprints and the planning and execution of projects.

  • Work closely with peer engineering, technical Program management and Product Management teams to help collect requirements for your products as well as contribute to the development of technology roadmaps.

What we need to see:

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

  • 8+ years of overall experience in Software development

  • 3+ years proven experience recruiting, training and managing software engineering teams.

  • Strong technical foundations and a passion for good software design 

  • Hands-on experience with cloud native development and architecture

  • Hands-on experience developing Applied Artificial Intelligence applications

  • Tight-knit collaboration, communication, and documentation habits.

  • Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA.

Ways to stand out from the crowd:

  • Hands-on experience building accelerated Applied AI applications using generative AI and computer vision AI

  • Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks 

  • Strong background in building and deploying AI services

  • Experience with leading and mentoring teams in multifaceted environments such as concurrent HW and SW development.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people in the world working for us. Do you want to be one of them? If you're creative and self driven, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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