职位 NVIDIA

NVIDIA

Pioneering accelerated computing and AI

Deep Learning Performance Architect - New College Graduate 2026

职能机器学习

级别应届/初级

地点Us, Canada, United States

方式现场办公

类型全职

发布2个月前

立即申请

必备技能

Python

PyTorch

Machine Learning

We are now seeking a Deep Learning Performance Architect!NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.What you’ll be doing: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 Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SWWhat we need to see:MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience Strong background in GPU or Deep Learning ASIC architecture for training and/or inference Experience with performance modeling, architecture simulation, profiling, and analysis Solid foundation in machine learning and deep learning Strong programming skills in Python, C, C++Ways to stand out from the crowd:Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)Experience with relevant libraries, compilers, and languages
CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCLExperience with the architecture of or workload analysis on other DL accelerators Demonstration of self-motivation, with a knack for critical thinking and thinking outside the box Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you! Come, join our Deep Learning Architecture team, where you can help build real-time, efficient computing platforms driving our success in this exciting and rapidly growing field.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until March 3, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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关于NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

10条评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐率

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

L3 · Data Scientist IC2

0份报告

$177,542

年薪总额

基本工资

股票

奖金

$150,910

$204,174

面试评价

5条评价

难度

3.0

/ 5

面试流程

Application Review

Recruiter Screen

Technical Phone Screen

Onsite/Virtual Interviews

Team Matching

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience