NVIDIA_AI_Engineer

Tata Consultancy Services Limited; Bengaluru, New Delhi, Hyderabad; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Tata Consultancy Services Limited in Bengaluru seeks an experienced NVIDIA AI Engineer to design, develop, and deploy AI solutions using NVIDIA technologies, CUDA, TensorRT, and Triton. You will build GPU-accelerated models and integrate with Omniverse and Physical AI platforms.

The role focuses on real-time inference, edge and cloud deployments, and collaboration with data scientists to deliver scalable AI solutions, with strong Python and C++ programming and cloud familiarity (AWS/Azure/GCP).

Qualifications

• Experience with 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.

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.

Skills

TensorFlow

PyTorch

CUDA

TensorRT

Python

C++

MLOps

AWS

Azure

GCP

Tools

NVIDIA Omniverse

Job description

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.