NVIDIA

Solutions Architect, Financial Services

California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field, or equivalent experience. They must have at least 5 years of experience as an ML/Software Engineer with a proven track record in writing code in Python and C++. Experience with ML/DL algorithms using frameworks like TensorFlow, Jax, PyTorch, Spark, and Dask is required, along with the ability to communicate ideas and share code clearly through blog posts and GitHub.

Responsibilities

The Solutions Architect will perform proof-of-concepts working alongside clients, engineers, and architects to analyze and optimize AI models for optimal performance on NVIDIA GPU architectures. They will directly collaborate with client Data Scientists and developers on business-impacting workflows, projects, and issues using NVIDIA technology, build collateral applied to finance use-cases, and partner with NVIDIA Engineering, Product Engineering, and Sales teams to secure design wins at customers. Furthermore, they will enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations, and work with key industry partners and customer developers to build GPU-accelerated solutions.

Skills

Python
C++
TensorFlow
Jax
PyTorch
Spark
Dask
Effective verbal and written communication
Technical presentation
Teamwork
Self-starter
Growth mindset
Continuous learning

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.

Key Metrics

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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