What are the responsibilities and job description for the Senior Manager, Software Development - GPU Accelerated Storage position at NVIDIA AI?
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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD for Level 4, and 292,000 USD - 442,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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.
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.
- 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.
- 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD for Level 4, and 292,000 USD - 442,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 15, 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.