Level

NVIDIA

Senior Solutions Architect, Energy Industry

NVIDIA is hiring a Senior Solutions Architect, Energy Industry in São Paulo, Brazil. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this solutions architect role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include NLP and AI research.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

nlpai-research

We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that use NVIDIA technology that will be adopted across all segments of the Energy industry including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from best-in-class developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for artificial intelligence, neural networks, and high-performance computing have impacted the energy domain significantly. These platforms are widely used by leading energy companies and start-ups. Our success has been based on vertical industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs. 

We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, Deep Learning, and Generative AI! This role requires becoming a trusted technical advisor and leader to clients and collaborators. They believe deep learning, data science, and artificial intelligence are a new computing revolution. These technologies have the potential to transform the energy domain. 

 

What you will be doing:

  • Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. 

  • Document what you know and mentor others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. 

  • Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge. 

  • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. 

  • We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful. 

What we need to see:

  • MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. 

  • 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs. 

  • Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes. 

  • Experience with modern Deep Learning software architecture and frameworks. 

  • Strong written and oral communication skills with the ability to efficiently collaborate with management and engineering. 

  • Experience within the energy industry or with customers/partners in the energy domain. 

  • Deep Neural Network and Machine Learning research and development experience with energy data. 

  • Published record of thought leadership in a technical area or industry segment. 

  • Strong analytical, time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into sophisticated projects. 

Ways to stand out from the crowd:

  • Experience using data science in the energy industry. 

  • Creative generation of synthetic data. 

  • Experience using GPGPU programming and design practices. 

  • CUDA programming and optimization experience. 

  • Experience with network software development 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
 

#NALASAHiring

How we rate this

Senior Solutions Architect, Energy Industry at NVIDIA rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

NLPAI Research

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

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Tell me about a research question you investigated. What did you find?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: NLP and AI Research. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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