Solutions Architect, Financial Services at NVIDIA

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, BankingIndustries

Requirements

BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
12+ 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

Responsibilities

Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers
Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations
Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures
Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology
Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction
Build collateral (notebooks/blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers

Skills

Key technologies and capabilities for this role

PythonC++TensorFlowJAXPyTorchSparkDaskMachine LearningDeep LearningGPU

Questions & Answers

Common questions about this position

What is the salary for this Solutions Architect position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What are the required skills and experience for this role?

Candidates need a BS/MS/PhD in Computer Science, Engineering, Physics, Mathematics or equivalent, 12+ years as an ML/Software Engineer with Python and C++ coding experience, and familiarity with ML/DL frameworks like TensorFlow, Jax, PyTorch, Spark, and Dask.

What is the company culture like at NVIDIA for this team?

The role involves joining an experienced team of Quants and Data Scientists, working with top minds in Financial Services, and collaborating across engineering, product, sales, and marketing teams in an environment that values inquisitive, hard-working, creative individuals passionate about tackling challenges.

What makes a candidate stand out for this position?

Stand out with experience in Banking and Payments modeling like Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems; familiarity with NLP Generative AI; skills in deploying ML models at scale with Docker, Kubernetes; NVIDIA software libraries knowledge; and experience with enterprise AI/HPC applications.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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