Pioneering accelerated computing and AI
Deep Learning Performance Architect - New College Graduate 2026
필수 스킬
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.
전체 조회수
0
전체 지원 클릭
0
전체 Mock Apply
0
전체 스크랩
0
비슷한 채용공고
PhD Research Intern, Vision Language Action Models
Zoox · Foster City, CA
2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting
Amazon · Seattle, WA, USA
Artificial Intelligence/Machine Learning - Summer 2026 Intern (US Person Required)
Honeywell · United States, US
AI / ML Engineering Dallas Associate
Goldman Sachs · Dallas, Texas, United States
Research Intern - Machine Learning for Biology and Healthcare
Microsoft · United States, Massachusetts, Cambridge
NVIDIA 소개
NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
직원 수
Santa Clara
본사 위치
$4.57T
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
2.8
보상
4.5
문화
4.2
커리어
4.3
경영진
3.8
78%
지인 추천률
장점
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
단점
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
연봉 정보
79개 데이터
L3
L4
L5
L3 · Data Scientist IC2
0개 리포트
$177,542
총 연봉
기본급
-
주식
-
보너스
-
$150,910
$204,174
면접 후기
후기 5개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
reddit/blind
·
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
reddit/blind
·
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
reddit/blind
·
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
reddit/blind
·