Full Job Description
We are now looking for a Solutions Architect to focus on HPC, Accelerated Analytics, Deep Learning and Machine Learning solutions to work with our Inside Sales Team in Durham, NC. If this role sounds exciting to you, we should talk.
Today, NVIDIA is acknowledged as the world leader in GPU accelerated computing. As a Solution Architect working at NVIDIA, you will work closely with customers and partners in our North American region - establishing relationships, solving problems and helping them build successful NVIDIA solutions.
What you’ll be doing:
A huge part of the day-to-day job is staying up on the latest improvements in the ecosystem around GPU accelerated environments. You'll also be called on to help architect and scale high-performance computing and virtual workstation environments that incorporate state of the art GPU technology.
Document what you know, and teach others. This can vary from building targeted training for customers, partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on over the phone.
Answer questions and provide mentorship. Work with Inside Sales Account Managers to assist customers with their mission critical projects. You will help them to build their GPU enabled Accelerated Compute datacenters, and get the most out of their investment.
We make heavy use of conferencing tools, but some travel might be needed for this role. You are empowered to figure out the best way to get your job done, and do what it takes to make our customers successful.
Backed up by the other Solution Architects, the Engineering organization, and the whole of NVIDIA, you’ll get to be the face and brains of NVIDIA. Above all, you will be the person that our customers rely on when they need help crafting solutions that make use of NVIDIA technology.
What we need to see:
BS or MS in Engineering, Mathematics, Physics, or Computer Science.
8+ years of work related experience in software development, Machine Learning, or high-performance computing, with GPU and CUDA experience highly desirable.
Experience working with DevOps including but not limited to Docker/Containers, Kubernetes and datacenter deployments.
Deep understanding of dense datacenter design including compute, Storage and networking.
Some experience with modern Deep Learning software architecture and frameworks.
Experience with supercomputing and technical computing environments
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Clear written and oral communications skills with the ability to effectively collaborate with management and engineering.
Ways to stand out from the crowd:
Experience with Deep Learning frameworks, data-heavy applications, C and Python programming, shell scripting, virtualization, cloud services, and Linux.
Prior work, and a passion for, automating tasks and building repeatable environments.
Have a willingness and ability to dig into unfamiliar territories to solve complex problems.
NVIDIA is committed to fostering a diverse 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.