Senior Manager, System Software Engineering - Metropolis Accelerated and Inferencing Software

NVIDIA · India, Pune · Posted 3 months ago

About this role

NVIDIA is a world leader in physical AI, powering self-driving cars, humanoid robots, intelligent environments, medical devices, and more. Our software platforms are at the core of this mission, enabling innovators to build world-changing products that save lives, improve working conditions, and elevate standards of living across the globe. NVIDIA is looking for an engineering leader who is hands-on with deep learning—comfortable reading/modeling code, not just running it. You bring strong intuition for modern architectures (e.g., transformers, diffusion, VLMs etc), deep experience tuning for NVIDIA GPUs (kernels, memory, latency/efficiency trade-offs) / SOCs, and a proven record delivering robust, low-latency inference at scale. You have led teams that turn Accelerated Computing pipelines into reliable, measurable business impact for embedded and Enterprise platforms. You will work with a cohesive, high-performing team that’s been built and refined over the past nine years. An individual well aligned to experts in the industry is a great fit for this role! What you'll be doing: Lead, encourage, and develop world-class engineering teams distributed across various India locations. Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations. Performance Ben