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NVIDIA logo
NVIDIA

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.

AI Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

121 days ago

Salary

$168K - $270.3K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishPython

Job Description

AI Software Engineer

NVIDIA

• Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support • Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools) • Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights • Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams) • Enable personalized, role-based data access—allowing individuals and teams to easily retrieve the information most relevant to them • Identify patterns, trends, and root causes from internal systems using advanced analytical methods • Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation • Research, evaluate, and implement emerging AI technologies to continuously improve internal systems • Provide technical leadership and guidelines for AI-based system build and deployment

Job Requirements

  • BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
  • 8+ years of experience in Machine Learning, Natural Language Processing, or related AI domains
  • Deep understanding of large language models (LLMs) and strong experience crafting and implementing RAG-based workflows
  • Strong programming skills with extensive experience in Python
  • Experience building production-grade AI systems, APIs, or data pipelines
  • Experience working with large, complex datasets and building analytical or reporting systems
  • Strong problem-solving skills, performance analysis experience, and debugging expertise
  • Solid foundation in algorithms and mathematical principles
  • Experience with source control tools such as Git or Perforce
  • Ability to work independently and collaboratively across teams

Benefits

  • equity
  • benefits

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