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- Tasks: Work on innovative projects in geophysics and power generation.
- Company: NVIDIA is a leader in AI and accelerated computing, transforming the energy sector.
- Benefits: Enjoy a diverse work environment and opportunities for continuous learning.
- Why this job: Be part of a team revolutionising energy solutions with cutting-edge technology.
- Qualifications: MS/PhD in a technical field with 5+ years in AI and power systems required.
- Other info: NVIDIA values diversity and encourages all qualified candidates to apply.
The predicted salary is between 48000 - 72000 £ per year.
NVIDIA is dedicated to leveraging artificial intelligence and accelerated computing to drive transformative advancements in the energy sector. By combining GPU-accelerated solutions, deep learning, and cutting-edge physics-based machine learning approaches, we aim to revolutionise power generation, transmission, and geophysics applications.
We are seeking a Solution Architect to support innovative applications in geophysics, power generation, and transmission. As trusted technical advisors, Solution Architects collaborate closely with partners and customers in the industry, guiding them in adopting and optimising NVIDIA's solution stack. We’re looking for a passionate, innovative, and committed candidate to empower customers in unlocking the full potential of our technology in the energy sector.
What You'll Be Doing
- Work on technical projects with industry and public sector organizations
- Support the power industry business development and sales team
- Communicate with product and engineering to build solutions aligned with customer’s requirements
- Support the development of power generation and distribution use-cases based on our platforms
- Keep learning the latest innovations in high performance computing and AI
- Educating customers on using NVIDIA GPUs and platforms
What We Need To See
- MS/PhD in Computer Science, Engineering, Computational Science/Physics, or related technical field
- 5+ years of experience with AI, ML, DL, and/or Generative AI
- 5+ years of industrial experience in power systems
- Experience in scientific/engineering simulations (e.g. reservoir modeling, smart grids, renewables, nuclear energy, etc)
- Solid skills in PyTorch and familiarity with containers, numerical libraries, modular software design
- Hands-on experience using HPC systems and GPUs
- Solid written and oral communications skills and familiarity with collaborative environments
- Team players, creative abilities, can learn and adapt quickly
Ways To Stand Out From The Crowd
- Experience using NVIDIA GPUs and platforms
- Good knowledge of Physics-Machine Learning
- Experience in Scientific Visualization
- Experience in digital twin technologies
NVIDIA is one of the technology industry's most desirable employers. If you’re a creative person with a genuine passion for AI, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates’ profiles. If you think you have the relevant skills and experience for this job, we encourage you to apply even if you lack some of the requirements listed above.
Solution Architect, Energy employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Energy
✨Tip Number 1
Familiarise yourself with NVIDIA's technology stack, especially their GPUs and AI platforms. Understanding how these tools can be applied in the energy sector will help you articulate your value during discussions.
✨Tip Number 2
Network with professionals in the energy sector who are already using NVIDIA solutions. Engaging in conversations about their experiences can provide insights that will make you stand out as a knowledgeable candidate.
✨Tip Number 3
Stay updated on the latest trends in high-performance computing and AI applications in energy. Being able to discuss recent advancements or case studies will demonstrate your commitment and expertise in the field.
✨Tip Number 4
Prepare to showcase your problem-solving skills through real-world examples. Think of specific projects where you've successfully implemented AI or machine learning solutions in power systems, as this will resonate well with the hiring team.
We think you need these skills to ace Solution Architect, Energy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, ML, and power systems. Emphasise your hands-on experience with NVIDIA GPUs and any projects that showcase your skills in scientific simulations.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and the energy sector. Mention specific projects or experiences that align with NVIDIA's mission to revolutionise power generation and transmission.
Showcase Technical Skills: Clearly outline your proficiency in PyTorch, HPC systems, and any familiarity with digital twin technologies. Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Collaborative Experience: Since the role involves working closely with partners and customers, include examples of successful collaborations in your application. This could be team projects or instances where you acted as a technical advisor.
How to prepare for a job interview at Nvidia
✨Showcase Your Technical Expertise
Make sure to highlight your experience with AI, ML, and HPC systems during the interview. Be prepared to discuss specific projects where you've applied these technologies, especially in the energy sector.
✨Demonstrate Problem-Solving Skills
NVIDIA values innovative thinkers. Prepare examples of how you've tackled complex problems in power systems or scientific simulations. This will show your ability to think critically and creatively.
✨Communicate Clearly
As a Solution Architect, you'll need to convey technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and benefits of your solutions.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI and energy technologies. Being knowledgeable about current trends will demonstrate your passion for the field and your commitment to continuous learning.