Senior Technical Program Manager, Engineering
@ NVIDIA

Hybrid
$230,000
Hybrid
Full Time
Posted 4 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXX******* @nvidia.com
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Job Details

About the Role

The Senior Technical Program Manager, Engineering at NVIDIA is responsible for driving CPE programs and processes. You will lead multi-functional teams in a matrix organization, using both Waterfall and Agile methodologies to deliver projects on schedule.

What You'll Be Doing

  • Drive CPE programs and process improvements.
  • Lead cross-functional teams and manage global projects.
  • Present project status to executive management.
  • Work with hardware and software teams on DL and GPU projects.
  • Influence process improvements for development efficiency.

What We Need To See

  • Strong technical background in software or hardware engineering.
  • Experience in technical program, project, or product management.
  • Experience with global, multi-time zone projects.
  • Bachelor's degree in Electronic Engineering, Computer Science or related field.
  • 6+ years in a similar role with risk and resource management skills.

Ways To Stand Out From The Crowd

  • Experience with pre-Si and post-Si chip development and verification.
  • Background in machine learning, deep learning, or GPU technology using CUDA, Tensorflow, or Pytorch.
  • Experience with project management tools like JIRA, Smartsheets, or MS Project.
  • Project Management Professional Certification is a plus.

Key Skills/Competency

  • program management
  • deep learning
  • GPU
  • architecture
  • chip development
  • verification
  • risk management
  • process improvement
  • project management
  • resource planning
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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Research NVIDIA's culture: Study their mission and recent projects.
  • Customize your resume: Highlight technical program management experience.
  • Show global project expertise: Mention multi-time zone coordination.
  • Prepare detailed case examples: Emphasize risk management and Agile.

📝 Interview Preparation Advice

Technical Preparation

Review GPU architecture documentation.
Study deep learning frameworks and APIs.
Practice Agile and Waterfall scenarios.
Examine risk management case studies.

Behavioral Questions

Describe past project leadership challenges.
Explain conflict resolution in team settings.
Discuss multi-tasking under pressure.
Share examples of strategic decision-making.

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