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 team-oriented 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 cooperative design.
Knowledge of Physical AI concepts and robotics integration.
Solid 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.