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
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.
Robust technical foundations and a passion for positive 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
Positive 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
📌 System Software Engineering Manager Bengaluru (India)
🏢 NVIDIA
📍 India