
Senior Deep Learning Infrastructure Engineer
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: California • Texas • United States
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Salary
💰 $184,000 - $356,500 per year
Job Level
Tech Stack
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
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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