1 day ago
Santa Clara, CA, USAMid Level
H1B sponsor
Base Salary
$124k - $242k/yr
Responsibilities
- Architect, build, and ship end-to-end agentic AI applications for multi-agent coordination, long-horizon reasoning, planning, and tool use.
- Develop, demonstrate, and package agentic AI systems and customer proof-of-concept solutions in NVIDIA’s Executive Briefing Center.
- Serve as a technical advisor and subject-matter expert in executive briefings.
- Create and present demonstrations for trade shows and customer meetings.
- Partner with engineering, product, sales, and account teams to secure build wins and translate customer feedback into product and roadmap insights.
- Create technical collateral, workshops, and developer-community content to scale global expertise.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, electrical/computer engineering, physics, mathematics, AI/ML, or a related field, or equivalent experience.
- At least 2 years of experience as an ML/software engineer or solutions architect writing production-level Python and/or C/C++ code in Linux environments.
- Experience building agentic and multi-agent AI systems with orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK, including tool-using and routing agents.
- Understanding of MCP and A2A, with strong PyTorch and distributed GPU post-training experience.
- Experience with scalable GPU-accelerated architectures, test-time compute, reinforcement learning, inference optimization, post-training, and deployment on AWS, GCP, Azure, OCI, or on-premises infrastructure.
- Strong communication and presentation skills, including the ability to explain sophisticated technical concepts to technical and non-technical audiences and lead projects end to end.
- Preferred experience includes NVIDIA NIM, NeMo Framework, NeMo Retriever, NeMo Agent Toolkit, Dynamo, Triton Inference Server, TensorRT-LLM, AI Blueprints, LLM evaluation, benchmarking, observability, safety guardrails, fine-tuning, quantization, Kubernetes/OpenShift, CUDA-X, NVIDIA GPUs, HPC, Spark, Dask, and public technical work.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay, with stated ranges for Level 2 and Level 3.
- Applications are accepted at least until September 14, 2026.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.