

NVIDIA is looking for a Senior DGX AI/DL Workload and Performance Analysis Engineer in Bengaluru. This position is full-time and is directed at the creation of AI performance tools, investigation of hardware-software efficiency, performance data visualization automation, and helping deep learning engineers to get the best out of DGX Cloud AI workloads. Become a part of NVIDIA’s multicultural workforce to improve AI infrastructure and allow scientists to provide top-notch AI products.
Location: Bengaluru, India
Job Type: Full Time
Job ID: JR2006293
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Develop AI performance tools for large-scale DGX Cloud AI systems, providing real-time insights and identifying bottlenecks.
Conduct in-depth hardware-software performance studies and define evaluation methodologies for efficiency.
Automate performance data analysis and visualization to produce actionable optimization recommendations.
Support deep learning software engineers and GPU architects with performance analysis efforts.
Collaborate across NVIDIA teams to incorporate latest technologies into GPU and AI performance tools.
A Bachelor's degree or above in Computer Science, Engineering, or a related field is a must along with equivalent professional experience.
More than 8 years of practical knowledge and expertise in the area of software infrastructure and tool development.
Mastery in C++ and Python among other programming languages.
Deep knowledge in OS and computer hardware.
Excellent communication skills for user needs analysis, task prioritization, and consensus building.
Automation and workflow efficiency improvement enthusiast.
Experience with large-scale AI clusters and GPU computing (CUDA).
Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA).
Deep understanding of software performance analysis and optimization processes.
NVIDIA is leading the world in the development of artificial intelligence, high-performance computing, and visualization technologies. The company's innovations play a major role in the development of new technologies in various sectors such as gaming, autonomous cars, and scientific research. NVIDIA is a company that invests a lot in talent, diversity, and creativity through its culture of constantly challenging the limits of computing.