[Remote] Solutions Architect, Higher Education and Research at NVIDIA

Pennsylvania, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Higher Education, ResearchIndustries

Skills

Key technologies and capabilities for this role

Generative AIDeep LearningRoboticsAIHPCAccelerated ComputingPhysical AIFoundation ModelsSimulationNVIDIA technologyNVIDIA AIDeep Learning softwareDeep Learning hardware

Questions & Answers

Common questions about this position

What is the salary range for this Solutions Architect position?

The base salary range is $148,000 USD - $235,750 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What skills are required for this Solutions Architect role?

Required skills include a BS, MS, or PhD in Computer Science or related fields, 5+ years of hands-on experience in Generative AI, Deep Learning, Robotics, and/or Simulation, experience with PyTorch, TensorFlow, and Reinforcement Learning, strong programming in Python and C++, and excellent communication skills.

What is the work environment like at NVIDIA for this role?

You will work in an interdisciplinary team collaborating with academia, industry, government, solutions architects, engineering, product, and business teams, while engaging with developers, researchers, and data scientists on HPC and AI projects.

What makes a candidate stand out for this position?

Candidates stand out with experience in the academic research community supporting HPC or AI, development with NVIDIA software libraries and GPUs, familiarity with NVIDIA Omniverse, Cosmos, Isaac Sim, or Isaac Lab, and prior experience with large-scale DL training, deployment, or optimization.

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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