[Remote] Senior Solutions Architect, Financial Services at NVIDIA

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

Skills

Key technologies and capabilities for this role

PythonC++PyTorchSparkDaskJaxTensorFlowMachine LearningDeep LearningHigh-Performance ComputingAIGPU architecturesML/DL algorithmsrecommender systemsGNNmonte-carlo simulationsQuantitative Finance

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 12+ years of experience as an ML/Software Engineer with a proven track record in writing code in Python and C++.

What are the key technical skills needed for this position?

Candidates need experience with ML/DL algorithms using frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow, and skills in deploying ML/DL models at scale on public cloud or on-prem HPC clusters.

What education is required for the Financial Services Solution Architect role?

A BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) is required.

What soft skills are important for this position?

Strong verbal/written communication and technical presentation skills, ability to communicate ideas and share code clearly through blog posts and GitHub, and enjoyment of working with multiple teams across organizations are essential.

What makes a candidate stand out for this role?

Stand out with C/C++ programming proficiency, understanding of NVIDIA GPU architectures, GPU development experience through NVIDIA CUDA-x libraries like cuBLAS and cuDNN, and knowledge of MLOps technologies.

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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