Senior Solutions Architect, Autonomous Vehicles - Data Center

Engage with customers to help accelerate training AV perception and planning/policy models, simulations, synthetic data generation, software in the loop testing, at large scale using Nvidia profiling tools Nsight System/Compute and employing libraries and frameworks such as cuDNN, NCCL, Transform Engine, PyTorch, etc. Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements. Develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies to customers. Perform in-depth analysis and optimization of state-of-the art AI models to ensure the best performance on current- and next-generation GPU architectures. Build collateral (notebooks, github repos, demos, etc.) applied to workflows such as model training and validations, LLM, VLA, VLM, World Models, video encoding/decoding, etc. Provide technical leadership to other team members. Development experience with NVIDIA software libraries and GPUs, and profiling. Experience with Python, CUDA, or C++ and proficiency with Linux. Ability to communicate your ideas/code clearly through blog posts, GitHub, ppt.