NVIDIA Logo

NVIDIA

Senior Applications Engineer, GenAI for Science

Reposted 8 Days Ago
In-Office or Remote
Hiring Remotely in Santa Clara, CA
124K-230K Annually
Senior level
In-Office or Remote
Hiring Remotely in Santa Clara, CA
124K-230K Annually
Senior level
The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.
The summary above was generated by AI

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, MatterGen, 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:

  • Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models

  • Debug, profile and recommend optimizations

  • Provide customer feedback back into engineering teams on improving of NV's GenAI SW for science research and discovery.

  • 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:

  • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

  • Degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred)

  • 5+ years hands-on experience developing, optimizing and running AI/ML models or LLMs using popular frameworks (PyTorch, or similar), and languages (C++, Python)

  • Deep understanding of Gen AI model architectures (GPT-x, Llama, MoE, etc)

  • Ability to work independently and as part of a globally distributed team.

Ways to stand out from the crowd:

  • Expertise in deploying large-scale training and inferencing pipeline

  • Hands-on experience with customizing AI models for multi-modal scientific data

  • Contributions to cornerstone research papers or open-source projects involving GenAI/AI for science applications

  • 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

Top Skills

C++
Deep Learning
Generative Ai
Gpu-Accelerated Computing
Machine Learning
Python
PyTorch

Similar Jobs

23 Minutes Ago
Easy Apply
Remote
3 Locations
Easy Apply
164K-238K Annually
Senior level
164K-238K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
The Staff Product Designer at Webflow will define and launch new products, collaborate across teams, engage with customers, and mentor designers to create innovative solutions.
Top Skills: AIContent Management PlatformsWeb Design
23 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
188K-235K Annually
Senior level
188K-235K Annually
Senior level
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
The Senior Customer Operations Manager will develop and manage a Digital Customer Success program, optimize processes, and collaborate with cross-functional teams to drive customer engagement and reduce churn.
Top Skills: ExcelLookerSalesforceSQL
23 Minutes Ago
Remote
USA
188K-235K Annually
Senior level
188K-235K Annually
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.
Top Skills: DbtHexLookerPythonSQL

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account