Senior Business System Architect, AI and ML at NVIDIA

Santa Clara, California, United States

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$140,000 – $264,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ManufacturingIndustries

Requirements

Bachelor’s Degree in Information Technology, Computer Science, or a related field, or equivalent experience
8+ years of experience in building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC)
Minimum 5+ years of experience delivering AI/ML frameworks
Experience with MS SQL, Python, R, Tableau, Excel, Azure, AWS
Agile software development experience (Jira, Confluence)
Logical problem solver, results-oriented, with excellent project management, communication, and analytical skills
Independent and motivated individual requiring little supervision and demonstrating good judgment and decision-making skills
Strong written and verbal communication and conscientious listening skills, with the ability to lead teams and influence others
Experience with continuous capability improvement implementations

Responsibilities

Collaborate with Business users to transform business requirements into system-based solutions
Identify challenges, opportunities, and gaps in business processes and help build technology strategy and roadmap
Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows for Manufacturing systems
Analyze, improve, and maintain Client-Server architecture, SAAS solutions, etc
Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects
Work cross-department, cross-project, and globally to collect requirements, build project plans, obtain approvals, and deliver Engineering solutions
Communicate effectively and build strong partnerships with stakeholders

Skills

Python

MS SQL

Tableau

Excel

Azure

AWS

Jira

Confluence

AI/ML frameworks

Agile

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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