Job Title
Distinguished Engineer – Data Center System Software Architect
Role Summary
Lead the end-to-end system software architecture for NVIDIA data center platforms (DGX, HGX), covering firmware, kernel drivers, operating systems, and user-mode drivers. Work with internal component leads and hyperscaler customers to define requirements, align roadmaps, and deliver production systems.
Experience Level
Senior-level. Requires 20+ years of experience in system architecture and design.
Responsibilities
Own technical architecture and customer-facing technical engagement for next-generation data center products.
- Serve as primary technical contact for major customers; lead technical discussions and define KPIs and requirements.
- Architect system software across firmware, OS, drivers, and user-mode stacks for server platforms integrating GPUs, DPUs, and CPUs.
- Align product roadmaps with customer requirements and drive adoption of new technologies and protocols.
- Make critical technical decisions under ambiguity and mitigate program risk through early validation strategies.
- Collaborate with cross-functional teams including platform security, HW, and cloud partners to deliver production systems.
- Drive standards and interoperability work with hyperscalers and industry partners when required.
Requirements
Must-have technical skills and proven track record delivering complex system software for data center platforms.
- Deep expertise in scalable, high-performance server system architecture and SW/HW interfaces.
- Extensive experience with system software for accelerators (GPUs, DPUs, FPGAs).
- Mastery of system firmware (SBIOS, OpenBMC), embedded systems, and Linux kernel internals.
- Proficiency in Out-of-Band and In-Band management architectures and device/system management protocols (examples: MCTP, PLDM, SPDM, RDE, Redfish, IPMI).
- Broad networking knowledge including TCP/IP, Ethernet, InfiniBand, and switching/routing concepts.
- Experience partnering with platform security teams to balance security and usability tradeoffs.
- Proven ability to lead complex, cross-functional programs and influence without direct authority.
Nice-to-have:
- Experience with cloud/cluster deployment and management systems and participation in standards bodies (e.g., OCP, DMTF).
- Familiarity with NVIDIA HPC programming models and libraries (CUDA, cuDNN, DOCA).
- Knowledge of enterprise storage architectures and distributed parallel processing paradigms.
Education Requirements
BS or MS in Computer Science, Electrical Engineering, or a related field — or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

Date Posted: 2026-08-22