NVIDIA

Senior Technical Marketing Engineer - CUDA-Q Academic

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Computer Hardware, Semiconductors, Software, EducationIndustries

Quantum Computing Curriculum Engineer

Position Overview

NVIDIA is at the forefront of transforming computer graphics, PC gaming, and accelerated computing, now venturing into the unlimited potential of AI to define the next era of computing. We are building the foremost platform for Quantum Computing education to equip students with experience in Quantum Computing, AI, and HPC. This role involves engineering a platform that empowers professors to integrate CUDA-Q into their existing courses, enabling students to learn how Accelerated Quantum Supercomputers will reshape the computing landscape through hands-on experience with GPUs and QPUs.

Employment Type

Full-time

Salary Range

$160,000 - $322,000 USD (based on location, experience, and pay equity) Eligible for equity and benefits.

Location Type

Not specified

What you'll be doing:

  • Building a platform for delivering educational resources to professors and students.
  • Integrating GPUs and QPUs into educational labs.
  • Collaborating with leading universities to enable the adoption of CUDA-Q into academic curriculum.
  • Working across teams to advance Quantum Computing education and prepare the next generation of students for a Quantum-enabled workforce.

What we need to see:

  • Strong communication skills and the ability to work effectively across teams.
  • Experience deploying educational content, Jupyter Notebooks, JupyterLab, or similar into production settings.
  • Programming experience in Python and/or C++.
  • A strong understanding of containerization and workflow frameworks, such as Docker, Docker Compose, and Kubernetes.
  • A Bachelor's degree or equivalent experience.
  • 5+ years of work experience.

Ways to stand out from the crowd:

  • Experience with cloud orchestration frameworks.
  • Experience developing educational content at a university or post-graduate level.
  • Background with CUDA and CUDA-Q.
  • Background with AI-assisted or personalized learning platforms.
  • Experience developing AI Agents and/or RAG workflows.

Company Information

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. We are driven by innovation and a commitment to fostering a diverse, supportive environment where everyone is inspired to do their best work. Join us to make a lasting impact on the world.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Application Instructions

NVIDIA accepts applications on an ongoing basis.

Skills

Python
C++
Docker
Docker Compose
Kubernetes
Jupyter Notebooks
JupyterLab
Technical Marketing
CUDA-Q
Quantum Computing
AI
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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