NVIDIAEnergy Solution Architect
NVIDIA is hiring an Energy Solution Architect in Beijing, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include CUDA, Nvidia Hpc Sdk and Physicsnemo.
- Level classifies it as a senior role.
- Level lists 2,600+ other open roles at NVIDIA.
AI in this role
Drive energy solution architecture and GPU-accelerated simulation workloads for the energy ecosystem at NVIDIA.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. 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 inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
We'll have the outstanding opportunity to be at the forefront of energy innovation!
As an Energy Solution Architect, we expect to provide dedicated technical support for energy customers, driving solution development and hands-on enablement for domain-specific simulation and surrogate modeling use cases across multiple NVIDIA software stacks.
Your efforts will encourage and grow China’s energy ecosystem, giving solutions that can scale to the global NVIDIA energy vertical.
What we need to see:
5+ years experience in the new energy sector (i.e. green energy, energy storage, battery, or power systems).
Practical knowledge of GPU computing (CUDA, HPC workloads, or accelerated simulation) is vital.
Familiarity with scientific computing and simulation tools like CFD, FEM, molecular dynamics, or physics-based AI models is meaningful.
Customer-facing experience is needed, including PoC delivery, developing solutions, or technical consulting.
Excellent communication skills and the ability to collaborate with engineering, sales, and product teams are important.
A Bachelor’s degree or equivalent experience in a relevant field (Physics, Energy Engineering, Computer Science, or related) is highly encouraged.
Ways To Stand Out From The Crowd:
Direct experience with PhysicsNeMo, Omniverse/OpenUSD, or NVIDIA HPC SDK applied to energy or scientific simulation will position you as an outstanding candidate.
Deep knowledge in new energy, renewable energy systems, or AI-for-science workflows, paired with proven success in moving customer PoCs into production within energy or industrial verticals.
Bridge modern AI and simulation research with actual energy industry implementations.
Passion for building a new vertical from the ground up — entrepreneurial approach with the ability to identify and shape emerging opportunities
Prior contributions to open-source scientific computing or published research in energy/physics domains
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
How we rate this
Energy Solution Architect at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- Tell me about a project where gpu computing was part of your work. What did you do?
- Tell me about a project where scientific simulation was part of your work. What did you do?
- Tell me about a project where solution architecture was part of your work. What did you do?
- Tell me about a project where energy systems was part of your work. What did you do?
- Walk me through how you've used CUDA in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: GPU Computing, Scientific Simulation, Solution Architecture, Energy Systems, and CUDA. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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