# Senior Deep Learning Performance Architect

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**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-Performance-Architect_JR2019301?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9cbe96fa-238

## Description

We are now seeking a Senior Deep Learning Performance Architect! As a Senior Deep Learning Performance Architect at NVIDIA, you will help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

**Key Responsibilities:**

- Develop innovative architectures to extend the state of the art in deep learning performance and efficiency

- Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

- Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

- Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. Develop high level simulators in C++/Python

- Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

**Requirements:**

- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience

- 6+ years of relevant meaningful work experience

- Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node

- Experience with performance modeling, architecture simulation, profiling, and analysis

- Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale.

- Strong programming skills in Python, C, C++

**Nice to Have:**

- Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)

- Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference

- Exposure to using AI to accelerate SW engineering

- Demonstration of self-motivation and creative / critical thinking

You will also be eligible for equity and benefits.

## Skills

### Required
- GPU
- Deep Learning ASIC
- Performance Modeling
- Architecture Simulation
- Profiling
- Analysis
- Machine Learning
- Deep Learning
- Python
- C
- C++

### Nice to have
- Pytorch
- JAX
- TensorRT
- Advanced Optimizations
- SW/HW Co-design
- LLM Training
- Inference

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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-Performance-Architect_JR2019301?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)