Solutions Architect, HER and FSI, Solutions Architect, HER and FSI - São Paulo

We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments. · At NVIDIA, our Solutions Architects are draw ...

Descrição do trabalho

We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments.

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 and are broadly used across leading Latin America 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.

We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, and Deep Learning (AI) This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries.

A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers.

Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role, and will give you experience with a range of partners and concerns.

What You'll 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 teach 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 advanced applications both in the datacenter and at the edge.

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

B.S., M.S., or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
5+ 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 effectively collaborate with management and engineering.
Experience supporting customers/partners in technical engagements.

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

Strong analytical and problem-solving skills.
Experience applying data science to industry problems.
Creative generation of synthetic data.

Ways To Stand Out From The Crowd

Experience using GPGPU programming and design practices.
CUDA programming and optimization experience.
Deep Neural Network research and development experience with industry data.
Machine Learning research and development experience with industry data.
Published record of thought leadership in a technical area or industry segment.

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