Senior Solutions Architect, Energy Sector

NVIDIA Gruppe; Town of Texas (WI); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Gruppe is looking for a Solutions Architect to drive the development of energy-specific applications that utilize NVIDIA's cutting-edge technology. The role requires an extensive background in data science and software development, particularly with GPUs, along with exceptional communication skills.

You will collaborate closely with partners in the energy sector to provide high-value solutions that meet their unique needs, showcasing NVIDIA’s capabilities across various applications in Oil and Gas, Renewables, and Power Utilities.

Qualifications

• 8+ years of work-related experience in data science or software development.
• Background working with modern application deployment practices.
• Experience with modern Deep Learning software architecture.

Responsibilities

• Partner with industry teams to understand customer goals and deliver solutions.
• Document knowledge and guide others through various formats.
• Integrate NVIDIA technology into AI and HPC architectures.

Skills

Data science

Software development

Parallel computing with GPUs

Modern application deployment practices

Strong written and oral communication

Time-management and organization

Education

MS or PhD in Engineering, Mathematics, Physics, Computer Science

Tools

Docker

Kubernetes

Job description

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 demonstrate NVIDIA technology that will be adopted across all segments of the Energy sector including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading energy companies and start-ups. Our success has been based on vertical focus 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.

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 guide 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.

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 optimally collaborate with management and engineering.
• Background in the energy industry or engaging with clients/partners involved in the energy field.
• Strong time‑management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.

Ways to stand out from the crowd:

• CUDA programming and optimization experience.
• Experience using data science in the energy industry.
• Experience using GPGPU programming and design practices.
• Background with network software development.
• AI Exposure: Deep Neural Network or Machine Learning R&D with energy data.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000USD-287,500USD for Level4, and 224,000USD-356,500USD for Level5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June12,2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.