[Remote] Senior Technical Marketing Engineer - CUDA-Q Academic at NVIDIA

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Semiconductors, Software, EducationIndustries

Requirements

Candidates must possess strong communication skills and the ability to collaborate across teams. They should have experience deploying educational content using platforms like Jupyter Notebooks or JupyterLab, and possess programming proficiency in Python and/or C++. A strong understanding of containerization and workflow frameworks such as Docker, Docker Compose, and Kubernetes is required, along with a Bachelor's degree or equivalent experience and 5+ years of work experience. Experience with cloud orchestration frameworks, developing educational content at a university or post-graduate level, CUDA and CUDA-Q, AI-assisted or personalized learning platforms, and developing AI Agents and/or RAG workflows are advantageous.

Responsibilities

The Senior Technical Marketing Engineer will build a platform for delivering educational resources to professors and students, integrating GPUs and QPUs into educational labs. They will work with leading universities to enable the adoption of CUDA-Q into academic curriculum and collaborate across teams to advance Quantum Computing education, preparing the next generation of students for a Quantum-enabled workforce.

Skills

Python

C++

Docker

Docker Compose

Kubernetes

Jupyter Notebooks

JupyterLab

Technical Marketing

CUDA-Q

Quantum Computing

HPC

GPU

QPU

Communication

Team Collaboration

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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