What you'll be doing:
You will partner with Industry Business Development and WWFO to secure design wins, and to lead the support of the pr...
What you'll be doing:
You will partner with Industry Business Development and WWFO to secure design wins, and to lead the support of the product through customer proof-of-concept evaluations, gaps in collateral, and industry demo capability.
You will coordinate the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer, partner, and ISV problems using GPU deep learning and other NVIDIA technologies
Be industry champion and contributor on integrating NVIDIA technology into Enterprise Computing architectures to support HPC/Machine Learning, Deep Learning, and Data Analytics
You will establish close technical ties to the client facing teams, establishing personal relationships to facilitate rapid resolution of issues and promote the highest levels of customer satisfaction
You will work closely and collaborate with the NVIDIA customer account team, other Solution Architects, and/or product engineering teams during.
Comfortable working across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.
What we need to see:
Ability to engage multiple levels of organizations.
Demonstrate detailed industry knowledge of Financial Services/Markets underlying technology in multiple disciplines - Capital Markets, Banking, Insurance, Trading, Blockchain, Compliance, Digitization, Robo-Advisory
BS in Engineering, Mathematics, Physics, or Computer Science
Required Skills & Experience
10+ years delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure.
Modern Bi-Modal datacenters for enterprise computing architectures- Storage, Compute, and Software stacks.
Exposure to C, Python, Java, or C++ programming
Parallel programming expertise
Exposure to GPU technology and CUDA programming
Direct experience architecting, managing, and supporting shared compute infrastructure software
Experience working with enterprise developers and academic research community supporting computer vision, data analytics, or Deep Learning.
Strong verbal and written communication skills
Strong teamwork and interpersonal skills
Ability to multitask effectively in a dynamic environment
Dedicated with strong analytical skills
Desire to be involved in diverse and creative work
Ways to stand out from the crowd: CUDA optimization experience Specialty skills in large scale computing clusters, and use of Machine Learning (XGBoost, PCA, SVM, KNN) or Deep Learning (CNN, LSTM, VAE) in Financial Services use case(s). Experience with Kubernetes, OpenStack, or SLURM for workload orchestration. Skills in analytical problem solving and using data analysis to support strategic decisions You are a self-starter with mindset for growth and real passion for continuous learning.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and like an environment to make things happen, 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.#deeplearning