Senior Technical Marketing Engineer - CUDA-Q Academic

at Nvidia
📍 United States
USD 160,000-322,000 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 7 Kubernetes @ 7 Python @ 4 Communication @ 7 CUDA @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars that understand the world. Working at NVIDIA means being immersed in a diverse, supportive environment inspired to do the best work and make a lasting impact.

NVIDIA is building a foremost platform for Quantum Computing education to prepare students experienced in Quantum Computing, AI, and HPC to enter the workforce. Students will learn about Accelerated Quantum Supercomputers through hands-on learning with GPUs and QPUs. This role involves engineering a platform that enables professors across fields to integrate CUDA-Q into their courses.

Responsibilities

  • Build a platform for delivering educational resources to professors and students
  • Integrate GPUs and QPUs into educational labs
  • Work with leading universities to enable adoption of CUDA-Q in academic curriculum
  • Collaborate across teams to advance Quantum Computing education to prepare the next generation for a Quantum-enabled workforce

Requirements

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

Ways to Stand Out

  • Experience with cloud orchestration frameworks
  • Experience developing educational content at university or postgraduate level
  • Background with CUDA and CUDA-Q
  • Background with AI-assisted or personalized learning platforms
  • Experience developing AI Agents and/or Retrieval-Augmented Generation (RAG) workflows

Benefits

  • Base salary range: 160,000 USD - 322,000 USD (determined by location, experience, and pay equity)
  • Eligible for equity and benefits
  • Ongoing application acceptance

NVIDIA is committed to diversity and inclusion as an equal opportunity employer.