Senior Manager, Software Development - GPU Accelerated Storage

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 320,000 - 489,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks a leader for the Data Center Storage Acceleration & Platforms team to optimize storage access across NVIDIA platforms, enabling direct GPU memory to storage paths and bypassing the CPU where possible.

You will define reference storage platform designs, drive the roadmap across systems and applications, mentor a global team, and contribute to NVIDIA's reference storage platforms, with equity and comprehensive benefits.

Qualifications

• Bachelor's or Master's/PhD in CS, EE, or related field.
• 12+ years in industry with 6+ years leading teams delivering complex storage products.
• Deep knowledge of data storage platforms, NVMe and RDMA technologies.
• Strong interpersonal and written communication skills.

Responsibilities

• Identify software/hardware opportunities to accelerate storage performance.
• Develop driver features and CUDA/C++ libraries to remove bottlenecks.
• Align storage acceleration roadmap across systems, frameworks and apps.
• Serve as spokesperson for the global team and lead cross-team initiatives.
• Plan and deliver team projects with accountability.

Skills

Data storage

NVMe/RDMA

System architecture

Leadership

Communication

Education

Master's or PhD in CS/EE or related field

Tools

CUDA

PyTorch

JAX

System software for accelerators

Job description

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 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.