NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need passionate, hard-working and creative people to help us pursue more of these rare opportunities.
We are now looking for a Solution Architect to focus on HPC, Accelerated Analytics, Deep Learning and Machine Learning solutions to work with our Partner Team in Japan. If this role sounds exciting, 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 channel partners in Japan - 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 guide others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a partner on a whiteboard.
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on 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 is required 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 partners successful.
Above all, you will be the person that partners call on when they need to get technical in crafting solutions for customers that make use of NVIDIA technology. 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 that our partners will learn to rely on.
What we need to see:
BS or MS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
5+ years of work related experience in software development or Machine learning or high-performance computing, CUDA experience highly desirable.
Experience working with DevOps including but not limited to Docker/Containers, Kubernetes and datacenter deployments.
Some experience with modern Deep Learning software architecture and frameworks.
Deep understanding of dense datacenter design including compute, Storage and networking.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Strong written and oral communications skills in English & Japanese 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 problems.
Experience working with Vendors or OEMs
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! 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.