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 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.