Lead a team developing next generation system architectures for future HPC and AI clusters using the latest NVIDIA technologies
Build full-stack systems crafted for high-performance machine learning applications
Author reference architectures which influence future supercomputing systems for AI and HPC both inside and outside NVIDIA
Collaborate with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products

Requirements

BS (Masters or PhD preferred) in Applied Science or Engineering (or equivalent experience)
8+ overall years experience in high-performance computing or machine learning fields, including 3+ years of technical leadership experience
Proven ability to lead high-performing engineering teams, especially across distributed groups with diverse expertise
Proficiency in software development and system automation with languages such as Go, Python, or Ansible

Benefits

Competitive salaries
Comprehensive benefits package
Equity possibilities

Applicant Tracking System Keywords

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

Hard Skills & Tools

high-performance computingmachine learningsystem architecturesfull-stack systemssoftware developmentsystem automationGoPythonAnsibleNVIDIA technologies

Soft Skills

technical leadershipcollaborationteam leadershipinfluencecommunicationproblem-solvingorganizational skillscross-functional teamworkmentoringadaptability