Solutions Architect, Higher Education and Research

Pennsylvania, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Higher Education, ResearchIndustries

Requirements

Candidates must possess a BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering, or a related field, or have equivalent experience. A minimum of 5 years of hands-on experience in Generative AI, Deep Learning, Robotics, and/or Simulation is required, along with experience in Deep Learning frameworks like PyTorch and TensorFlow, and Reinforcement Learning. Strong programming, problem-solving, and debugging skills in Python and C++ are essential, as are excellent presentation, communication, and collaboration abilities. Experience working with the academic research community supporting HPC or AI, development experience 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 in production are considered advantageous.

Responsibilities

Solutions Architects will support the NVAITC in Pittsburgh and universities in the Central US by assisting them in adopting and building creative solutions using NVIDIA technology through collaboration with academia, industry, and government. They will partner with other solution architects, engineering, product, and business teams to understand strategies, workflows, and technical needs. The role involves dynamically engaging with developers, scientific researchers, and data scientists to define solutions for Robotics, Physical AI, and Generative AI, and analyzing performance and optimizing the development of AI and foundation models. Some travel is required to support customers and ensure their success.

Skills

Generative AI

Deep Learning

Robotics

HPC

Accelerated Computing

Physical AI

Foundation Models

Simulation

NVIDIA technology

NVIDIA AI

Deep Learning software

Deep Learning hardware

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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