Jobs
Benefits & Perks
•Learning and development stipend
•Flexible PTO policy
•Wellness benefits
•Parental leave program
Required Skills
Python
SQL
TensorFlow
Generative AI is revolutionizing ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of GenAI models and tools such as ClimaX, GenSLM, Matter Gen, etc are some exemplars of adapting GenAI for scientific research and discoveries.
We are now looking for a senior Application engineer to work with leading science and research institutes in Japan, promoting the adoption GPU-accelerated computing solutions—including machine learning, deep learning, and especially generative AI for scientific discovery and research.
Do you enjoy working with top researchers who are coming up with innovative model architectures and workflows for GenAI for Science ? Do you find it exciting to help collaborators solve problems in training, scaling and deploying GenAI models at scale? If converting a small proof of concept into an inspiring solution for the larger community is exciting, then we encourage you to apply!
What you'll be doing:
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Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models
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Provide customer feedback back into engineering teams on improving of NV's GenAI SW for science research and discovery.
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Participate in Gen AI hands-on hackathons/workshops that drive adoption of NV’s GenAI SW stack in the scientific community
What we need to see:
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Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.
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Degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred)
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8+ years hands-on experience developing, optimizing and running AI/ML models using popular frameworks (Py Torch, or similar), and languages (C++, Python)
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Deep understanding of AI model architectures when applied for science data
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Ability to work independently and as part of a globally distributed team
Ways to stand out from the crowd:
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Experience with developing, running science simulations and AI models for science on GPUs
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Hands-on experience with customizing AI models for multi-modal scientific data
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Contributions to cornerstone research papers or open-source projects involving GenAI/AI for science applications
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Experience with complex workflows integrating simulation, AI models/GenAI models and running them on large scale HPC systems
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology 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 unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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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
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 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
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