Role at a glance
- Salary
- $272K – $488.8K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ overall years in the industry, including 6+ years growing, mentoring and managing teams with similar responsibilities.
- Education
- Bachelor’s or preferably Master’s or Doctoral (Ph.D) degree or equivalent experience in Computer Science, Electrical Engineering, or a...
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Role Summary
The Data Center Storage Acceleration & Platforms team optimizes NVIDIA platforms to accelerate storage access and enable direct data paths between GPU memory and storage. The role collaborates across NVIDIA on reference storage platform designs that integrate accelerated computing into enterprise storage systems.
What You'll Do
- Identify software and hardware opportunities across applications, frameworks, drivers, and firmware to accelerate storage performance.
- Develop new driver features and C++/CUDA libraries and remove performance and power bottlenecks.
- Drive alignment of the storage acceleration roadmap across next-generation systems, frameworks, applications, and the broader storage...
- Champion team initiatives internally and externally as spokesperson for the global team.
- Lead and coordinate planning, scheduling, and execution of team projects and deliverables.
- Contribute to the planning and execution of NVIDIA’s reference storage platforms.
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View full postingQualifications
Deep knowledge of data storage platforms, databases, and vector databases; in-depth understanding of NVMe and high performance RDMA network protocols; deep understanding of system-level architecture; strong interpersonal, verbal, and written communication skills; successful experience leading teams with numerous complex products, competing priorities, and successful delivery on the mission.
Required
- 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...
- 12+ overall years in the industry, including 6+ years growing, mentoring and managing teams with similar responsibilities
Preferred
- 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...
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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.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.
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.