Senior Solutions Architect, Financial Services

New York, New York, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Capital MarketsIndustries

Requirements

Candidates must have a BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience. A minimum of 12 years of experience as an ML/Software Engineer with proven Python and C++ coding skills is required. Experience with ML/DL algorithms using frameworks like PyTorch, Spark, Dask, Jax, or TensorFlow is necessary. The role also requires the ability to deploy ML/DL models at scale on public cloud or on-prem HPC clusters, strong communication skills, and a self-starter attitude with a passion for continuous learning. Familiarity with NVIDIA GPU architectures, CUDA-x libraries, and MLOps technologies is preferred.

Responsibilities

The Senior Solutions Architect will partner with NVIDIA Engineering, Product, and Sales teams to secure customer design wins and enable product feature development through customer feedback and proof-of-concept evaluations. They will perform in-depth analysis, profiling, and optimization of machine learning/deep learning models alongside clients and engineers to ensure optimal performance on GPU architectures. The role involves working directly with client ML researchers and developers on business-impacting projects, facilitating rapid issue resolution, and building collateral, such as notebooks and blogs, for finance industry use-cases like ML/DL, recommender systems, GNNs, and Monte-Carlo simulations.

Skills

Python

C++

PyTorch

Spark

Dask

Jax

TensorFlow

Machine Learning

Deep Learning

High-Performance Computing

GPU architectures

ML/DL algorithms

recommender systems

GNN

monte-carlo simulations

Quantitative Finance

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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