NVIDIA

1 week ago

Applied Agentic AI Lead, Partner Co-Design

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Drive co-design of generative and agentic AI software with strategic Enterprise ISV partners as a technical lead. Collaborate with partner platform architects to build production agentic systems spanning RAG, inference, multi-agent, and long-horizon workflows on NVIDIA’s stack. Ship durable reference architectures, run evaluations, and shape product roadmaps by translating insights from real enterprise deployments. Partner closely with Product, Engineering, NV Research, and Solution Architecture to keep engagements on the cutting edge.

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Co-design and build production agentic systems with ISV Software Platform Architects, defining objectives, timelines, and adoption strategy aligned to business goals.
•Develop agentic workflows across RAG, inference, multi-agent, and long-horizon tasks on NVIDIA’s stack and ecosystem tools; drive library evaluations and deliver code/reference architectures.
•Lead technical engagement execution to ensure software adoption; collaborate with Product, Engineering, NV Research, and Solution Architecture teams.
•Deepen technical capabilities in select areas such as fine-tuning (PEFT, SFT), reasoning, agent evaluations and observability, and production inference.
•Represent partner needs and architecture to Product and Engineering teams, contributing insights to the product roadmap based on enterprise deployments.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work.
•Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
•Strong AI/ML and deep learning foundation with hands-on experience building enterprise-grade GenAI systems (advanced RAG, multi-agent architectures, production LLM evaluations and deployments).
•Ability to research, prototype, and collaborate across teams to deliver technical solutions for new customer scenarios with ownership of large projects.
•Fluency in Python and the modern agent/LLM stack (e.g., LangChain; inference engines such as vLLM/TensorRT-LLM; NVIDIA NeMo; vector DBs; MCP/A2A).

Experience:12+ yearsEnterprise softwareProduction AIGenAIAgentic AIMLOps/LLMOps

Education:Master's in Computer Science, Electrical Engineering

Skills:Executive communicationOwnershipInitiativeRelationship-buildingCollaboration

Tech Stack:PythonRAGMulti-agentLangChainVLLMTensorRT-LLMNVIDIA NeMoMCP/A2AVector DBsNeMoNemotronNIMDynamoPEFTSFTRLRL from verifiable rewardsMLOpsLLMOpsKubernetes

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Applied Agentic AI Lead, Partner Co-Design

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Co-design and build production agentic systems with ISV Software Platform Architects, defining objectives, timelines, and adoption strategy aligned to business goals.
•Develop agentic workflows across RAG, inference, multi-agent, and long-horizon tasks on NVIDIA’s stack and ecosystem tools; drive library evaluations and deliver code/reference architectures.
•Lead technical engagement execution to ensure software adoption; collaborate with Product, Engineering, NV Research, and Solution Architecture teams.
•Deepen technical capabilities in select areas such as fine-tuning (PEFT, SFT), reasoning, agent evaluations and observability, and production inference.
•Represent partner needs and architecture to Product and Engineering teams, contributing insights to the product roadmap based on enterprise deployments.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually

Equity and Bonus:Equity

Key Requirements

•12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work.
•Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
•Strong AI/ML and deep learning foundation with hands-on experience building enterprise-grade GenAI systems (advanced RAG, multi-agent architectures, production LLM evaluations and deployments).
•Ability to research, prototype, and collaborate across teams to deliver technical solutions for new customer scenarios with ownership of large projects.
•Fluency in Python and the modern agent/LLM stack (e.g., LangChain; inference engines such as vLLM/TensorRT-LLM; NVIDIA NeMo; vector DBs; MCP/A2A).

Experience:12+ yearsEnterprise softwareProduction AIGenAIAgentic AIMLOps/LLMOps

Education:Master's in Computer Science, Electrical Engineering

Skills:Executive communicationOwnershipInitiativeRelationship-buildingCollaboration

Tech Stack:PythonRAGMulti-agentLangChainVLLMTensorRT-LLMNVIDIA NeMoMCP/A2AVector DBsNeMoNemotronNIMDynamoPEFTSFTRLRL from verifiable rewardsMLOpsLLMOpsKubernetes

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor