NVIDIA

NVIDIA

Posted via Workday

Senior Technical Product Manager - GPU Direct Storage

Posted Aug 5, 2026

Role at a glance

Salary
$208K – $327.8K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
12+ yrs of relevant experience
Education
BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline (or equivalent experience).

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Role Summary

AI-generated

The Technical Product Manager will guide and grow NVIDIA's GPUDirect Storage and cuFile products within the GPU-accelerated storage space. The role focuses on product strategy, customer engagement, go-to-market efforts, and technical thought leadership for data-intensive applications.

What You'll Do

  • Collaborate with architects, engineers, and researchers to define and evolve the GPUDirect Storage and cuFile roadmap.
  • Work directly with customers and developers to understand use cases, pain points, and requirements.
  • Lead product launches and positioning with Marketing, PR, and Sales teams.
  • Develop technical collateral and communication strategies.
  • Create technical content including blogs, white papers, webinars, and tutorials.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline, or equivalent experience; 12+ years of relevant experience; strong technical expertise in accelerated computing and storage; demonstrated understanding of scientific computing, AI workloads, and HPC environments; exceptional interpersonal and technical communication skills.

Required

  • BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline, or equivalent experience
  • 12+ yrs of relevant experience
  • Strong technical expertise in accelerated computing and storage, especially GPUDirect Storage, cuFile, or closely related technologies
  • Demonstrated experience and deep understanding of scientific computing, AI workloads, and high-performance computing (HPC) environments
  • Exceptional interpersonal skills, capable of articulating complex technical concepts clearly to both technical and non-technical audiences

Preferred

  • Proven track record in software development, architecture, or product management for distributed computing or storage solutions
  • Direct experience working with CUDA, GPU programming, and large-scale data management
  • Previous roles defining product strategies or requirements in cloud-based or HPC environments

Original job description

Content provided by the employer

NVIDIA's pioneering CUDA platform has transformed industries from AI and HPC to Autonomous Driving and Robotics, empowering millions of developers worldwide. As data volumes explode and computational demands rise, GPU-accelerated storage solutions like GPUDirect Storage and cuFile become critical for unlocking unprecedented performance in data-intensive applications.

We are seeking a passionate and technically adept Technical Product Manager to guide and grow our GPUDirect Storage and cuFile products. This role is crucial in driving customer engagement, refining product strategy, and shaping the future of GPU-accelerated storage.

What you'll be doing:

  • Strategic Product Definition: Collaborate closely with architects, engineers, and researchers to define and evolve the roadmap for GPUDirect Storage and cuFile.

  • Customer Engagement: Work directly with customers and developers to understand use cases, pain points, and requirements, ensuring our solutions meet and exceed their expectations.

  • Go-to-Market Strategy: Lead efforts in launching and positioning products, including collaboration with Marketing, PR, and Sales teams to develop impactful content, technical collateral, and communication strategies.

  • Thought Leadership: Create compelling technical content, including blogs, white papers, webinars, and tutorials, highlighting the value and innovation behind our GPUDirect Storage and cuFile offerings.

What we need to see:

  • BS/MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline (or equivalent experience).

  • 12+ yrs of relevant experience

  • Strong technical expertise in accelerated computing and storage, especially GPUDirect Storage, cuFile, or closely related technologies.

  • Demonstrated experience and deep understanding of scientific computing, AI workloads, and high-performance computing (HPC) environments.

  • Exceptional interpersonal skills, capable of articulating complex technical concepts clearly to both technical and non-technical audiences.

Ways to stand out from the crowd:

  • Proven track record in software development, architecture, or product management for distributed computing or storage solutions.

  • Direct experience working with CUDA, GPU programming, and large-scale data management.

  • Previous roles defining product strategies or requirements in cloud-based or HPC environments.

NVIDIA is renowned globally as a top-tier technology innovator and employer. Our team thrives on creativity, collaboration, and a shared drive to tackle ambitious challenges. If you're a technically-minded, customer-focused product manager eager to shape the future of GPU-accelerated storage solutions, we want to hear from you!

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.