NVIDIA

Compute DevTech Engineer

NVIDIA

full-time

Posted on:

Location Type: Hybrid

Location: MunichGermany

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About the role

  • Focuses on research and development of techniques to accelerate leading applications in telecom, low-latency signal processing, high performance computing, scientific computing, data analytics, and AI
  • Perform in-depth analysis and optimization for performance on CPU, GPU, and network architectures
  • Guide key application developers and contribute to applications
  • Develop reference codes or libraries
  • Create and optimize core parallel algorithms and data structures
  • Collaborate with diverse groups at NVIDIA to improve the platform

Requirements

  • A BS, MS, or PhD degree in computer science or in engineering or a domain science with 10+ years of experience
  • Strong knowledge of C/C++ and/or Fortran
  • Hands-on experience with parallel programming, e.g., in MPI, OpenMP, CUDA, and/or OpenACC
  • Good communication and organization skills, with a logical approach to problem solving
Benefits
  • Highly competitive salaries
  • Comprehensive benefits package
  • Great company culture
  • Opportunities for professional development
Applicant Tracking System Keywords

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

Hard Skills & Tools
CC++Fortranparallel programmingMPIOpenMPCUDAOpenACCsignal processingdata analytics
Soft Skills
communicationorganizationproblem solving
Certifications
BS degreeMS degreePhD degree