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NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking research can be accelerated through NVIDIA's platform have been key to this outstanding legacy of technological innovation. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world!
We are looking for AI Supercomputing Solutions Architects to join our NVIDIA Infrastructure Services effort to support academic and commercial groups in using NVIDIA products to advance deep learning, data analytics and scientific simulation. Your playgrounds will be the world’s fastest AI supercomputers! Solutions Architects are the primary technical contacts for our customers and possess requires excellent interpersonal skills. For this role, we seek individuals that combines an intricate understanding of state-of-the-art AI & HPC workloads with expertise in accelerated computing and architecture at scale.
What you will be doing:
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Be an inspiring leader on integrating NVIDIA technology into IT infrastructures focusing on performance at scale, reliability, manageability, real-time monitoring, etc.
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Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs.
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Identify gaps and propose/develop prototypical solutions.
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Demonstrate accelerated computing and AI workflows, deliver trainings using NVIDIA GPUs and software for AI research, groom power users to be NVIDIA champions e.g. as DLI Ambassadors.
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Communicate customer requirements to NVIDIA Engineering to foster product improvements.
What we need to see:
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3+ years of research experience in Deep Learning with a track record of scientific publications
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Experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale
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Passion for accelerated computing
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A graduate degree from a leading university in a STEM related field
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Action oriented with strong analytical skills
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Strong organization and time management skills to work in a fast-pace multi-task environment
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Self-motivated, independent, ability to work independently with minimal day-to-day direction
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Significant experience in High-Performance Computing or Deep Learning
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Strong collaboration and social skills, ability to communicate effectively with customers, and across organizations (Engineering, Sales, Support)
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Experience with DL frameworks, multi-GPU computing, Generative AI
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Fluent in English both oral and written
Ways to stand out from the crowd:
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Experience with data curation pipeline at scale, data formats, filtering, cleaning
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Experience working with EuroHPC-class supercomputers or tier-1 clouds at scale
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Skilled at profiling, analyzing and optimizing code
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Understanding of HPC system architecture inc. distributed computing, networking, parallel filesystems, cluster operations, workload schedulers, etc.
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Experience working with NVIDIA technologies inc. NVAIE, Ne Mo, CUDA, NIM, etc.
As a Solution Architect, there is travel involved, as often the best way to figure things out is a face-to-face meeting, but the job isn’t life on the road. We make heavy use of conferencing tools. You’re empowered to figure out how get the job done and do what it takes to make our customers successful.
NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
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
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