Senior Developer Technology Engineer - AI

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 7 Algorithms @ 4 Machine Learning @ 4 Communication @ 4 Parallel Programming @ 4 Prioritization @ 4 Performance Optimization @ 4 NLP @ 4 CUDA @ 4 GPU @ 4

Details

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence!

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

Responsibilities

  • Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.
  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Requirements

  • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience).
  • 8+ years of relevant work experience or research.
  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.
  • Background including parallel programming technologies such as CUDA, OpenACC, OpenMP, MPI, pthreads.
  • Hands-on experience in low-level performance optimizations.
  • In-depth expertise with CPU and GPU architecture fundamentals.
  • Good communication and organizational skills, logical problem solving, and prioritization skills.

Ways to stand out

  • Expertise in parallelization and performance optimization of Deep Learning models (NLP, Computer Vision, Recommender Systems).
  • Excellent understanding of linear algebra.

Benefits

  • Eligibility for equity and benefits.
  • Opportunity to work in a cutting-edge AI compute DevTech team at NVIDIA.

NVIDIA is an equal opportunity employer committed to diversity and inclusion.