Company: NVIDIA
Industry:- Private
Employment Type:- Full-time
Work Hours:- 8 Hours
Locations:- USA
Full Job Description:
The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds in Financial Services (Capital Markets, Consumer Finance, Payments) to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!
What You’ll Be Doing:
- Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis and optimization of powerful AI models to ensure the best performance on current- and next-generation GPU architectures.
- Work directly with client Data Scientists and developers on business-impacting workflows, projects, issues, and success using NVIDIA technology.
- Build collateral (notebook/ blog) applied to Finance industry use-cases such as Generative AI, recommender, GAN, GNN, monte-carlo, Quantitative Finance, etc. by working closely with customers.
- Collaborate with key industry partners/customer developers to build GPU-accelerated solutions that are applied to their products and technologies.
- Partner with NVIDIA Engineering, Product Engineering, and Sales teams to secure design wins for customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
What We Need To See:
Other Jobs You May Be Interested In
- Call Center Representative – Remote Work
- VP Of Programs
- Analytics Engineer (U.S. Remote)
- System Software Engineer – GPU
- Senior Software Engineer – Azure Networking Team
- Digital Designer
- Senior/Junior Learning Specialist Hobby Lobby (Full Time) $35/Hour
- Small Business Banker 8th & Brannan
- Relationship Banker LP (SAFE) – Boise Main
- Change Implementation Consultant Commercial Card
- Learning Manager, Global Sourcing (Remote – U.S.)
- Security Engineer, Mandiant, Google Cloud
- Southwest Airlines Remote Jobs – Work From Home
- Delta Airlines Data Entry Job From Home $20/Hour – WFH
- Aetna Work From Home (No Experience, No Degree)
- Aetna Online Jobs For (13,14,15) Year Old’s
- Aetna Data Entry Jobs For Online Clients
- Aetna Remote Jobs That Pay $30 To $40 An Hour
- Starbucks Work From Home (No Experience, No Degree)
- Starbucks Online Jobs For (13,14,15) Year Old’s
- Starbucks Data Entry Jobs For Online Clients
- Starbucks Remote Jobs That Pay $30 To $40 An Hour
- Wells Fargo Work From Home (No Experience, No Degree)
- Wells Fargo Online Jobs For (13,14,15) Year Olds
- Wells Fargo Data Entry Jobs For Online Clients
- Wells Fargo Remote Jobs That Pay $30 To $40 An Hour
- PepsiCo Work From Home (No Experience, No Degree)
- PepsiCo Online Jobs For (13,14,15) Year Old’s
- PepsiCo Data Entry Jobs For Online Clients
- PepsiCo Remote Jobs That Pay $30 To $40 An Hour
- Walgreens Work From Home (No Experience, No Degree)
- Walgreens Online Jobs For (13,14,15) Year Old’s
- Walgreens Data Entry Jobs For Online Clients
- Walgreens Remote Jobs That Pay $30 To $40 An Hour
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
- 5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
- Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask
- Ability to communicate ideas and share code clearly through blog posts, GitHub
- Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
- Effective verbal/written communication and technical presentation skills
- Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team
Ways To Stand Out From The Crowd:
- Skilled in deploying ML/DL models at scale on public cloud computing clusters in production
- Development experience with NVIDIA software libraries and GPUs
- Knowledge of MLOps technologies such as Docker/containers, Kubernetes, KubeFlow, data center deployments, etc. Experience working with enterprise developers building AI, HPC, or data analytics applications
