Partner with research universities to co-create innovative solutions with NVIDIA’s platform
Collaborate with engineering, product, and business teams
Engage with developers and researchers to architect solutions in computational physics, quantum computing, or molecular science
Profile and optimize performance of AI models
Attend up to 20% travel

Requirements

MS or PhD in Computer Science, Computational Physics, Computational Chemistry, or related field (or equivalent experience)
8+ years of hands-on experience in accelerated computing and knowledge of parallel computing with GPUs
Strong fundamentals in programming and software design, especially in Python and C++
Excellent knowledge of theory and practice of AI at scale

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonC++accelerated computingparallel computingAI model optimizationsoftware designcomputational physicsquantum computingcomputational chemistry

Soft Skills

collaborationcommunicationproblem-solvinginnovation

Certifications

MS in Computer SciencePhD in Computer Science