NVIDIA

Senior Deep Learning Infrastructure Engineer

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: CaliforniaTexasUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $184,000 - $356,500 per year

Job Level

About the role

  • Work towards building applications and developing infrastructure for a highly scalable deep learning platform.
  • Design, build, and maintain high bandwidth data-pipelines and related infrastructure, such as APIs, databases and services.
  • Work closely with domain experts, research teams and take ownership of productizing, releasing and maintaining deep learning products.
  • Be an engineering generalist. Discover and build skills needed at different times towards solving problems at hand.

Requirements

  • Bachelor’s/Master's degree in computer science, engineering, or related field (or equivalent experience)
  • Minimum 6+ years of experience in services, pipelines, API development and system design.
  • Expertise in Python, JavaScript or another similar programming language
  • Zeal to learn and perform beyond prior experience and expertise.
  • Experience in dev-ops, full-stack development, databases and cloud computing.
  • Fundamentals in machine learning and experience in building RAG pipeline or other LLM applications.
Benefits
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaScriptAPI developmentsystem designdev-opsfull-stack developmentdatabasescloud computingmachine learningRAG pipeline
Soft Skills
ownershipproblem-solvingadaptabilitycollaborationlearning
Certifications
Bachelor's degreeMaster's degree