NVIDIA

Data Center Systems

SeniorManager,SoftwareDevelopment

$248–443k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Manager, Software Development at NVIDIA. Skills: Software Development Management, Data Storage Platforms, System Architecture, Performance Optimization, Team Leadership. Optimize NVIDIA platforms to accelerate storage access. Identify software and hardware opportunities that accelerate storage performance”

What You'll Achieve.

Successful completion and accountability for the global team's projects and deliverables; Successful delivery on the mission

Industry & Context.

Data Center Systems
Problems you'll solve

Eliminating bottlenecks by enabling direct data paths for transfers between GPU memory and storage, bypassing the CPU when possible; Identify software and hardware opportunities that accelerate storage performance; Removing performance & power bottlenecks

What They're Looking For.

Must Have

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, interpersonal, verbal and written communications skills, Successful experience leading team with numerous complex products, competing priorities, and successful delivery on the mission, 12+ overall years in the industry, 6+ years growing, mentoring and managing teams with similar responsibilities

Nice to Have

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

What You'll Do.

Optimize NVIDIA platforms to accelerate storage access

Identify software and hardware opportunities that accelerate storage performance

Develop new driver features

Develop C++/CUDA libraries

Remove performance & power bottlenecks

Drive alignment of the storage acceleration roadmap

Lead and coordinate the planning

and carrying out of team projects and deliverables

Contribute to the planning and execution of NVIDIA’s reference storage platforms

How You'll Work.

Team & Collaboration

Collaborate with leaders across NVIDIA to define reference storage platform designs; 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

Communication Scope

Interpersonal skills; Verbal communication skills; Written communication skills

Process & Methodology

Lead and coordinate the planning, scheduling, and carrying out of team projects and deliverables, Ensuring successful completion and accountability for the global team

Full 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 ex

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