Software Solutions Engineer - Cloud and Graphics Technologies

NVIDIA NVIDIA · Semiconductors · Bangalore, India +1

NVIDIA is seeking a Software Solutions Engineer to support Physical AI products like Omniverse and Isaac Sim, focusing on cloud environments. The role involves troubleshooting, feature development, customer issue resolution, and collaborating with engineering teams. Requires experience in customer-facing technical roles, 3D graphics/simulation, and cloud-native architectures.

What you'd actually do

  1. Trouble shoot, fix and develop features as part of solution engineering effort in the above mentioned technology areas for our enterprise customers across the globe
  2. Work with CSPs, their customers and internal users to improve the availability, reliability, and overall experience of working with Omniverse product
  3. Take ownership and drive customer issues with Omniverse from inception to resolution
  4. Build upon the opportunity to research new use cases with GPUs
  5. Bring independent analysis, communication, and problem-solving to customer experience

Skills

Required

  • BS in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 5+ years in a customer-facing technical role such as solution engineering, Solutions Architect, Customer Success Engineer for cloud, SaaS, or platform services.
  • Experience developing or troubleshooting 3D graphics, simulation or visualization applications with Python or C++.
  • Deep understanding of cloud-native architectures (containers, Kubernetes, microservices), physical AI and modern deployment/operations practices.
  • Excellent communication skills, including the ability to translate technical topics for non-technical audiences and to clearly document architectures, decisions, and runbooks.

Nice to have

  • Experience with NVIDIA libraries and models (e.g. CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos).
  • Hands-on experience with robotics simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MujoCo, Pybullet, SAPIEN).
  • Familiarity with GPU-accelerated computing and AI/ML workflows, and how they integrate with visualization or simulation workloads.
  • Experience in resolving issues in managed cloud platforms, working with customers, cloud providers, and internal SRE/engineering.

What the JD emphasized

  • customer-facing technical role
  • Physical AI
  • graphics and simulation