NVIDIA
Technology
SeniorAIArchitect,FoundationModelsandSoCCo-Design
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Architect, Foundation Models and SoC Co-Design at NVIDIA. Skills: Foundation Models, SoC Co-Design, Autonomous Vehicles, AI Architecture. Research emerging AI model architectures. Drive hardware-software co-design”
Industry & Context.
Performance profiling; Systems bottleneck analysis; Workload characterization
What They're Looking For.
Must Have
MS, PhD, or equivalent experience, 12+ years of experience in AI/ML systems, Deep expertise in modern AI architectures, Experience mapping AI workloads, Solid understanding of distributed training systems, Experience with model optimization methods, Understanding of performance profiling
Nice to Have
Experience with autonomous vehicle stacks, Deep familiarity with NVIDIA platforms, Experience influencing silicon architecture, Expertise in sophisticated AI efficiency techniques, Understanding of multimodal fusion
What You'll Do.
Research emerging AI model architectures
Drive hardware-software co-design
Develop architectural insights
Influence silicon design decisions
Prototype emerging model paradigms
Evaluate model paradigms
Partner with AI research teams
Partner with AV software teams
Partner with compiler teams
Partner with runtime teams
Partner with hardware architecture teams
Define benchmarking methodologies
Define evaluation metrics
How You'll Work.
Team & Collaboration
AI researchers; Silicon architects; AV platform teams; AI research; Autonomous driving software; Compiler teams; Runtime teams; Hardware architecture teams
Full Job Description
NVIDIA is at the forefront of accelerated computing, AI, and autonomous machines. From generative AI to robotics and self-driving vehicles, our technologies are transforming some of the world’s largest industries. NVIDIA DRIVE™ is redefining autonomous mobility through state-of-the-art AI, high-performance compute, and scalable software-defined architectures. We are looking for a Senior AI Architect to help define the next generation of AI model paradigms for autonomous vehicles and shape how those models co-evolve with NVIDIA’s future embedded SoC architectures. This is a highly strategic role operating at the intersection of frontier AI research, hardware architecture, systems optimization, and autonomous driving. You will work with world-class AI researchers, silicon architects, and AV platform teams to identify the AI workloads that will define the next decade — and ensure NVIDIA platforms are architected to lead them. **What You’ll Be Doing:** * Research and forecast emerging AI model architectures that are expected to shape the future autonomous vehicle stack, including Vision-Language-Action (VLA) models, Multimodal foundation models and more. * Drive hardware-software co-design across next-generation AI workloads and NVIDIA embedded SoCs, including GPU, CPU, DLA, memory hierarchy, interconnects, and accelerator subsystems. * Analyze compute, memory, bandwidth, and latency characteristics of sophisticated AI architectures such as transformers, diffusion models, or MoE systems * Develop architectural insights and influence future NVIDIA silicon, IP, and system-level design decisions through deep workload characterization and performance analysis. * Prototype and evaluate emerging model paradigms on NVIDIA DRIVE and embedded AI platforms to validate scalability, efficiency, and deployment feasibility. * Partner closely with AI research, autonomous driving software, compiler, runtime, and hardware architecture teams to align long-term roadmap and platform strate
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