Senior Solutions Architect, Autonomous Driving, GenAI
Nvidia
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How this pay compares to similar roles
This role pays more than 89% of similar roles. Most pay $196,562–$254,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $226k for comparable roles.
Based on 240 similar postings.
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Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a Senior Technical Lead, GenAI - Autonomous Vehicles, you will join the team to engage developer ecosystems across generative AI, autonomous vehicles, and simulation platforms. You will serve as a technical advisor for partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions. Your daily work involves developing reference architectures, creating sample code, and providing technical enablement resources while advocating for partner needs to internal product teams. The role requires expertise in Python, C++, Linux, and DevOps tools like GitLab, Docker, and Kubernetes. You will solve complex problems involving AV end-to-end models, perception, planning, and control systems using PyTorch. Additionally, you will work with technologies such as USD, NIMs, and Blueprints to address challenges in world models, simulation workflows, and agentic AI frameworks like LangChain and LangGraph.
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