Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with partners during planning calls through implementation.
Using NVIDIA Isaac Sim, Isaac Lab, and Matterix to build digital twins of robots, laboratory environments, and scientific procedures. Using NVIDIA Newton to simulate the physics of robots, articulated rigid bodies, deformable objects, granular media, and fluids.
Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms. Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
Research vulnerabilities on cutting-edge SoC and GPU designs. Develop and use cutting-edge security tools and techniques. Guide the continuous integration of latest mitigations into our security architecture.
Innovating and improving CPU performance through modern microarchitectural ideas. Modeling potential improvements to determine their merit and feasibility. Implementing effective solutions and collaborating closely with build, verification, and post-silicon teams.
Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Applying NVIDIA and OSS tools to define, build and orchestrate inference solutions. Enabling NVIDIA strategic Telecom ISVs to deploy and support the design defined above.
AI Factory deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for AI Factory infrastructure.
Our day-to-day work involves helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks.
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