채용
NVIDIA is leading company of AI computing. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with NVIDIA experts to support top AI Labs and top model builders.
What You’ll Be Doing:
-
Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
-
Assist researchers/engineers on their GPU applications.
-
Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
-
Provide technical support for GPU system deployments.
-
Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.
-
Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.
What We Need To See:
-
MS or PhD in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology or equivalent experience, with 3+ years’ experience with research/development/application of Machine Learning, data analytics, or computer vision work flows.
-
Outstanding verbal and written communication skills
-
Ability to work independently with minimal day-to-day direction
-
C/C++/Python programming experience
-
Desire to be involved in multiple diverse and innovative projects
-
Experience using scale-out cloud and/or HPC architectures for parallel programming
Ways To Stand Out From The Crowd:
-
AIGC/LLM/NLP experience
-
CUDA optimization experience.
-
Experience with Deep Learning frameworks and tools.
-
Extensive experience designing and deploying large scale HPC and enterprise computing systems.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고

Resident Solutions Architect - Healthcare & Life Sciences
Databricks · Dallas, Texas

Architect, Apps & AI
Microsoft · India, Telangana, Hyderabad; India, Karnataka, Bangalore; India, Uttar Pradesh, Noida

Solutions Architect
Databricks · Seoul, South Korea

Technical Architect
Salesforce · Mexico - Mexico City; Brazil - Sao Paulo; Argentina - Buenos Aires

SOLUTION ARCHITECT L1
Wipro · Hyderabad, India
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
4.1
10개 리뷰
워라밸
3.5
보상
4.2
문화
4.3
커리어
4.5
경영진
4.0
75%
친구에게 추천
장점
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
단점
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
연봉 정보
73개 데이터
Junior/L3
Mid/L4
Junior/L3 · Analyst
7개 리포트
$170,275
총 연봉
기본급
$130,981
주식
-
보너스
-
$155,480
$234,166
면접 경험
7개 면접
난이도
3.1
/ 5
경험
긍정 0%
보통 86%
부정 14%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
뉴스 & 버즈
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago