# Senior Deep Learning Systems Architect

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Architect_JR2003682?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_af7576b7-57f

## Description

NVIDIA is seeking a Senior Deep Learning Systems Architect to help design hardware accelerator and processor architectures that enable state-of-the-art machine learning and data analytics algorithms and applications on next-generation mobile, embedded, and datacenter platforms.

As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs and systems advance the state of AI.

Responsibilities include:

- Contributing to features that help next-generation GPUs and systems advance the state of AI

- Keeping up with the latest DL research and collaborating with diverse teams, including DL researchers, hardware architects, and software engineers

- Participating in engineering projects and co-designing architecture for systems from conception, specification, and prototyping

- Understanding various AI/DL workloads and their mapping to underlying HW and Systems, identifying potential improvements and bottlenecks, proposing solutions to address existing gaps, and accelerating/improving current systems/methods

- Performing comprehensive analyses from first principles of various deep learning techniques, system optimizations to build out analytical models, implementing prototypes, and benchmarking to test/prove ideas

Requirements:

- MS (or equivalent experience) or PhD degree in computer science, computer architecture, electrical engineering, or related field with 10+ years of relevant work experience

- Strong background in at least a few of the following relevant areas: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as PyTorch, TensorFlow, or JAX); Numerical analysis; Performance analysis and optimization; Computer architecture

- Programming fluency with C++ and ideally Python

- Work experience with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) is a plus

Benefits include equity and standard benefits.

## Skills

### Required
- Machine learning
- Deep Neural Networks
- Computer architecture
- Numerical analysis
- Performance analysis and optimization
- C++
- Python
- GPU computing
- HPC

### Nice to have
- PyTorch
- TensorFlow
- JAX
- CUDA
- OpenCL
- OpenACC
- MPI
- OpenMP

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Architect_JR2003682?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)