Senior Manager, Software Development - GPU Accelerated Storage

NVIDIA AI; Seattle (WA); On-site; USD 272,000 - 489,000; Full time

Job summary

NVIDIA in Seattle is seeking a leader for the Data Center Storage Acceleration & Platforms team to optimize NVIDIA platforms for storage access, eliminating bottlenecks and enabling direct data paths between GPU memory and storage.

You will define reference storage platform designs, guide a global team, advance CUDA/C++ libraries, and collaborate across NVIDIA to deliver high-performance, scalable storage solutions. A senior, technically broad background with 12+ years is expected.

Qualifications

• 12+ years in industry with 6+ years leading teams.
• Bachelor’s or higher in CS, EE, or related field.
• Deep knowledge of data storage platforms and NVMe.

Responsibilities

• Identify software/hardware opportunities to accelerate storage performance.
• Drive alignment of storage acceleration roadmap across systems.
• Lead planning and execution of team projects with accountability.
• Contribute to NVIDIA reference storage platforms.

Skills

Storage platforms expertise

NVMe

RDMA protocols

System architecture

Leadership

C++/CUDA programming

Communication skills

Education

Bachelor's degree in CS/EE

Master's or PhD preferred

Tools

CUDA

PyTorch knowledge

GPU/accelerator stacks

Job description

Job Requisition ID
JR2017590

Job Category
Engineering

Time Type
Full time

NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs/CPUs, NVIDIA NVLink, NVIDIA Networking, and a fully optimized NVIDIA AI and HPC software stack.

We’re seeking a leader for our Data Center Storage Acceleration & Platforms team. In this role, you’ll optimize NVIDIA platforms to accelerate storage access—eliminating bottlenecks by enabling direct data paths for transfers between GPU memory and storage, bypassing the CPU when possible. You’ll collaborate with leaders across NVIDIA to define reference storage platform designs that integrate NVIDIA-accelerated computing into enterprise storage systems, enabling optimized data handling and delivery.

What You’ll Be Doing

• Look across the platform, from applications and frameworks to drivers and firmware — to identify software and hardware opportunities that accelerate storage performance. This includes developing new driver features, C++/CUDA libraries, and removing performance & power bottlenecks.
• Drive alignment of the storage acceleration roadmap across next-generation systems, frameworks, applications, and the broader storage ecosystem.
• Spokesperson for the global team, championing initiatives both internally and externally.
• Lead and coordinate the planning, scheduling, and carrying out of team projects and deliverables, ensuring successful completion and accountability for the global team.
• Contribute to the planning and execution of NVIDIA’s reference storage platforms.

What We Need To See

• Deep knowledge of data storage platforms, databases, vector databases.
• In-depth understanding of NVMe, high performance RDMA network protocols, and related technologies.
• Deep understanding of system level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.
• Strong interpersonal, verbal and written communications skills.
• Successful experience leading team with numerous complex products, competing priorities, and successful delivery on the mission.
• Bachelor’s or preferably Master’s or Doctoral (Ph.D) degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• 12+ overall years in the industry, including 6+ years growing, mentoring and managing teams with similar responsibilities.

Ways To Stand Out From The Crowd

• Development experience in storage software such as key-value storage, file systems, object storage systems and vector databases.
• Knowledge of operating system development, including thread and process management, virtual and device memory (e.g., dmabuf), and user-level network and storage I/O.
• Experience in CUDA programming, exceptional C/C++ programming skills.
• Previous experience working with system software for accelerators such as GPUs, DPUs, or FPGAs.
• Internals of frameworks like PyTorch and JAX.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you’re creative, passionate and self-motivated, we want to hear from you! 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.