Job description

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.

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

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