Solutions Architect, Executive Briefing Center

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an experienced ML/Software Architect to design and ship end-to-end agentic AI applications. You will work across multi-agent coordination, long-horizon reasoning, planning, and tool use, collaborating with engineering, product, and sales teams to translate customer feedback into roadmap insights and scalable technical collateral.

You will present demos at trade shows and customer meetings, serving as a technical advisor to SMEs and leading projects from start to finish in a

Qualifications

• 2+ years as ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments.
• Experience building agentic and multi-agent AI systems using orchestration frameworks (LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK) and understanding MCP/A2A.
• Strong background in PyTorch and distributed GPU training; prototype and build scalable GPU-accelerated architectures; deploy workloads on cloud or on‑prem.

Responsibilities

• Architect, build, and ship end-to-end Agentic AI applications for multi-agent coordination, long-horizon reasoning, planning, and tool use.
• Act as Technical Advisor in Executive Briefings with SMEs.
• Create and present demos for Trade Shows or Customer Meetings.
• Partner with NVIDIA engineering, product, and sales to translate feedback into product/roadmap insights and scale expertise through collateral, workshops, and communities.

Skills

Python

C/C++

Linux environments

LangGraph

LlamaIndex

CrewAI

LangChain

OpenAI Agents SDK

PyTorch

distributed GPU

Kubernetes

OpenShift

CI/CD

AWS

GCP

Azure

OCI

Education

BS/MS/PhD in CS/EE/Physics/Math/AI/ML or related field

Tools

Linux

Job description

What you’ll be doing:

• Architect, build, and ship end-to-end Agentic AI applications for a variety of use cases—spanning multi-agent coordination, long-horizon reasoning, planning, and tool use.
• Act as Technical Advisor alongside fellow Subject Matter Experts (SME) in Executive Briefings.
• Creating and presenting demos that are used at Trade Shows or Customer Meetings.
• Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities.

What we need to see:

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience)
• 2+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments.
• Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK —including tool-using and routing agents. Solid understanding of MCP and A2A is vital.
• Strong background in PyTorch and distributed GPU (post-)training. Able to quickly prototype and build scalable GPU-accelerated architectures. Applies test-time compute, reinforcement learning, inference optimization, and post-training. Deploys workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise.
• Strong grasp of the way C‑Suite and Industry Leaders think paired with excellent communication and presentation skills. Able to explain sophisticated ideas to both technical and non‑technical groups. Leads projects from start to finish in a fast‑paced, multitasking setting.

Ways to stand out from the crowd:

• Practical experience working directly with the NVIDIA agentic AI software stack—NVIDIA NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, Dynamo, Triton Inference Server, TensorRT-LLM, and AI Blueprints.
• Expertise building LLM evaluation harnesses, benchmarking systems, observability platforms, and safety guardrails, plus fine‑tuning and optimizing reasoning‑focused LLMs and SLMs through timely engineering and quantization.
• Experience developing production‑grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud‑native infrastructure, with familiarity with modern agent architectures and emerging communication protocols such as MCP (Model Context Protocol) or Google A2A.
• Proven experience handling NVIDIA GPU architectures, CUDA‑X libraries (cuBLAS, cuDNN, RAPIDS), and HPC technologies (NCCL, InfiniBand, MPI, NVLink), along with familiarity in large‑scale data processing and distributed/parallel computing frameworks (e.g., Spark, Dask).
• A strong public profile (blogs, GitHub, conference talks) that demonstrates your expertise and passion for agentic AI.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.