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[Remote] Senior AI Application Developer - GPU and SOC Architecture Modeling

NVIDIAvia Jobright
RemotoUsSêniorCLT6 dias atrás

Salário Estimado

R$ 12.667,00 - R$ 20.167,00

Tecnologias

0de 100

Excelente

Score da Vaga

Descrição da Vaga

Note: The job is a remote job and is open to candidates in USA.


NVIDIA is a leader in visual and AI computing, known for its pioneering work in GPU technology.


The Senior AI Application Developer will work with architects and software engineers to develop scalable GenAI applications, enhance productivity, and integrate AI-based solutions into existing workflows.


Responsibilities • Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity

Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling • Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains
Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions • Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge Skills
BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 3+ years of experience in related areas • Proficiency in C++, Python and ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools
Hands-on experience with LLMs (e.g.

GPT, Claude, Llama) and multimodal models • Background in Computer Architecture with experience in modeling is a plus

Strong collaboration skills with design and engineering teams • Strong problem-solving and debugging skills, with a track record of driving issues to closure Benefits
Equity • Benefits Company Overview
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees.


Its website is https://www.nvidia.com.


Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1877 in 2025, 1355 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020.


Please note that this does not guarantee sponsorship for this specific role.

Requisitos

  • BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 3+ years of experience in related areas
  • Proficiency in C++, Python and ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools
  • Hands-on experience with LLMs (e.g
  • GPT, Claude, Llama) and multimodal models
  • Strong collaboration skills with design and engineering teams
  • Strong problem-solving and debugging skills, with a track record of driving issues to closure

Responsabilidades

  • Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity
  • Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling
  • Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains
  • Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions
  • Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge

Benefícios

Equity
Benefits

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Informações

NívelSênior
ContratoCLT
LocalUs
RemotoSim
MoedaBRL
Publicada6 dias atrás
FonteJobright

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