Solutions Architect, HER and FSI at NVIDIA

São Paulo, State of São Paulo, Brazil

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Financial Services, TechnologyIndustries

Requirements

B.S., M.S., or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience
5+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs
Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes
Experience with modern Deep Learning software architecture and frameworks
Strong written and oral communication skills with the ability to effectively collaborate with management and engineering
Experience supporting customers/partners in technical engagements
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Strong analytical and problem-solving skills
Experience applying data science to industry problems
Creative generation of synthetic data

Responsibilities

Partner with industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs
Document what you know and teach others, including building targeted samples, writing whitepapers, blogs, and wiki articles, or working through hard problems with a customer on a whiteboard
Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge
Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform
Make heavy use of conferencing tools, with some travel required
Engage with customers, partners, and other NVIDIA software engineers to support applications and platforms that leverage NVIDIA technology
Act as a trusted technical advisor and leader to partners and customers
Dynamically engage with internal developers, scientific researchers, data scientists, IT managers, and senior leaders

Skills

GPU

Networking

Machine Learning

Deep Learning

HPC

NLP

Data Science

High-Performance Computing

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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