NVIDIA_AI_Engineer

Role Overview

We are looking for a highly skilled NVIDIA AI Engineer to design, develop, and deploy AI solutions leveraging NVIDIA technologies. This role focuses on implementing advanced AI/ML models, GPU acceleration, and integrating solutions with NVIDIA Omniverse and Physical AI platforms to enable next-generation digital experiences.

Preferred Location

Bangalore

Work experience

Overall, AI experience of more than 3 years with maximum experience in NVDIA Tech stack

Key Responsibilities

• Develop and optimize AI/ML models using NVIDIA frameworks (CUDA, TensorRT, Triton).
• Implement GPU-accelerated solutions for high-performance computing and real-time inference.
• Integrate AI solutions with NVIDIA Omniverse for collaborative simulation and visualization.
• Work on Physical AI applications, enabling robotics and sensor-driven systems.
• Collaborate with architects and data scientists to deliver scalable AI solutions.
• Ensure performance tuning and benchmarking for AI workloads on NVIDIA platforms.
• Support deployment across edge, cloud, and enterprise environments.

Required Skills & Qualifications

• Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and NVIDIA toolkits (CUDA, TensorRT).
• Experience with NVIDIA Omniverse for simulation and collaborative design.
• Knowledge of Physical AI concepts and robotics integration.
• Strong programming skills in Python and C++ for GPU computing.
• Familiarity with MLOps and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving and communication skills.

Preferred Qualifications

• NVIDIA certifications (Deep Learning Institute courses).
• Experience in digital manufacturing, autonomous systems, or mobility solutions.
• Hands-on experience with edge AI deployment and real-time inference.