Financial Services (FSI) continues to expand its use of AI and GPU acceleration, do you want to be a part of the team that brings AI technology to this industry? We are looking for a Solution Architect to join the NVIDIA FSI team to focus on assisting strategic clients' journey bringing AI architectures to production and solve very complex problems. The FSI team is at the leading edge with clients in the latest breakthroughs in deep learning and machine learning architectures making ideas a reality.
If you are passionate about AI and how it can unlock Financial Services, we should talk. NVIDIA is the world leader in GPU accelerated computing, and is looking for solution architects like you to help customers design and build enterprise AI solutions using our newest technology. You will work closely with customers and partners to tackle hard problems in the industry and deploy AI solutions at scale. Join us in this exciting journey!
What You'll Be Doing:
Lead strategic engagements with customers working to deploy solutions based on NVIDIA's groundbreaking GPU accelerated AI platforms and Reference Architectures.
Perform in-depth analysis and optimizations to ensure the best performance on current- and next-generation GPU architectures including our DGX systems and DGX SuperPOD AI supercomputers.
Work directly with client Data Scientists, Platform Engineers and developers on focused issues or projects.
Build collateral (notebook/ blog/ etc.) applied to Finance industry that shows Orchestration (Kubernetes, Slurm), DevOps/MLOps for complex workloads such as: NLP/NLU, Recommenders, Monte-Carlo, Fraud, Transfer Learning Toolkit for Payments, Market Simulation for Model Validation and Development, Synthetic Data Generation - Expanding sparse data sets, GAN's to Identify Market Anomalies, TCN's for Time Series, etc.
Collaborate with key industry partner/customer developers to build GPU accelerated solutions applied to their products and technologies.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable the development and growth of NVIDIA products through customer feedback and proof-of-concept evaluations.
Above all, you are empowered to bring NVIDIA technology to life in the Enterprise. You are given the tools to achieve success as well as the backing of all of NVIDIA, other Data Scientists, Solution Architects and Engineering. You will be the tip of the arrow and brains of NVIDIA that our customers will rely on.
What We Need To See:
5+ years in an architect role or equivalent experience in data science
Strong foundation expertise BS, MS, PhD in Engineering, Physics, Mathematics, Computer Science (or equivalent work experience).
Demonstrated ability working with teams performing model development, software engineering with a proven track record in building optimized AI platforms (hardware, software, storage, networking).
A well-established background working with client teams that deliver Machine/Deep Learning algorithms with frameworks such as TensorFlow, PyTorch, Spark
Ability to communicate your ideas/code clearly through presentations, blog posts, GitHub
Very strong analytical, problem-solving skills
Proven experience deploying sophisticated clusters in support of AI and HPC solutions. Including experience with Python, C/C++, Bash, as well as Cloud services, Spark and Linux.
Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.
You are a self-starter with an aptitude for growth, a passion for continuous learning, and sharing findings across the team
Experience working with DevOps including but not limited to Docker/Containers, Kubernetes, and Data Center deployments.
Ability to multitask optimally in a multifaceted environment.
Ways To Stand Out From The Crowd:
Demonstrate expertise in one or more of these areas: Data Analytics, Machine Learning, AI job orchestration, Natural Language Processing, Automatic Speech Recognition or Synthesis, and Recommenders.
Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
Experience with NVIDIA Reference Architectures, Software Libraries, and related technology including Jarvis (conversational AI), Merlin (recsys).
We make extensive use of conferencing tools, but occasional travel is required for on-site visits to customers and data science conferences. NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking 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.