Senior Deep Learning Systems Architect
NVIDIA· Architect
Santa Clara, CA$224k - $356.5kFull-timePosted 3mo ago
About the role
Senior role designing hardware accelerator and processor architectures for AI/ DL workloads across mobile, embedded, and datacenter platforms; involves co-design, optimization, benchmarking, and collaboration with DL researchers, hardware architects, and software engineers.
Responsibilities
- As a member of the deep learning architecture team, you will contribute to features that help next-generation GPUs and systems advancing the state of AI.
- Collaborate with DL researchers, hardware architects, and software engineers (internal and external to NVIDIA).
- Participate in engineering projects and co-design architecture for systems from conception, specification and prototyping.
- Understand various AI/DL workloads and their mapping to underlying HW and Systems; identify improvements and bottlenecks; propose solutions to address gaps and accelerate/improve systems/methods.
- Perform comprehensive analyses from first principles of DL techniques, system optimizations to build analytical models as well as implementing prototypes, and benchmarking to test/prove ideas.
Qualifications
- MS (or equivalent experience) or PhD in computer science, computer architecture, electrical engineering or related field with 10+ years of relevant work experience.
- Equivalent experience in areas such as Machine Learning (DL fundamentals, training DNNs for various tasks), DNN training frameworks (PyTorch, TensorFlow, JAX), Numerical analysis, Performance analysis and optimization, Computer architecture.
- Programming fluency with C++ (and ideally Python).
- Experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is a plus.
Skills
Required:Deep Learning systems architectureDL workload analysis and optimizationDNN training frameworksProgramming (C++, Python)
Nice to have:GPU computing
Benefits
- equity
- benefits (see NVIDIA benefits)
Last updated Jul 17, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
More open roles at NVIDIA
- Senior Physical Verification Engineer3d agoEngineer, ASIC
- Senior System Software Engineer, Display Security3d agoEngineer, Sys SW
- Senior FPGA Prototyping Engineer - Hardware3d agoSanta Clara, CA · Engineer, ASIC
- Senior Product Engineer3d agoHybrid (Thailand) · Engineer, Product Development
- Senior Architect - Data Processing Systems, Analytics and Data Intelligence3d agoHybrid (Remote / Local) · Architect