Senior Software Engineer - Manufacturing and Factory

Job Title

Senior Software Engineer - Manufacturing and Factory

Role Summary

Design and operationalize rack-scale factory and initial data-center deployment flows for next-generation NVIDIA data center products. The role focuses on end-to-end factory workflows including firmware flashing, security provisioning, diagnostics, and deployment tooling to ensure reliable production ramps.

Work cross-functionally with data center architects, ODMs/OEMs, simulation/emulation teams, and software/firmware engineers to deliver scalable, debuggable, and manufacturable systems.

Experience Level

Senior-level. The posting specifies 8+ years of experience in system architecture and design.

Responsibilities

Primary responsibilities include designing and driving manufacturing and deployment workflows for rack-scale systems and ensuring reliability and debuggability across hardware and software.

• Lead and drive rack-scale/L11 factory and initial data-center deployment flows.
• Design and implement end-to-end factory workflows: firmware flashing sequences, security provisioning, and deployment of software mitigations.
• Collaborate with data center architects, ODMs, and OEMs to define factory and deployment requirements for production ramp.
• Champion reliability, debuggability, and optimization in firmware, diagnostics, and deployment tools.
• Drive pre-silicon readiness for factory and manufacturing workflows using simulation and emulation technologies.
• Mentor architects and engineering teams and make technical decisions under ambiguity.

Requirements

Must-have technical skills and experience required for the role. Qualifications listed as "ways to stand out" are shown as nice-to-have.

• 8+ years of experience in system architecture and design for server/rack-scale systems.
• Deep experience designing scalable, high-performance server architectures at the software/hardware interface.
• Strong understanding of networking technologies and protocols (Ethernet, InfiniBand).
• Experience with complex system software for accelerators (GPUs, DPUs, FPGAs).
• Expertise in out-of-band and in-band management architectures and system management protocols (e.g., Redfish, IPMI).
• Proven ability to improve program execution via left-shift strategies and de-risking techniques.
• Strong written and verbal communication skills; ability to lead cross-functional engineering efforts.

Nice-to-have:

• Experience with large-scale cloud and cluster-level deployment and management systems.
• Track record of leading data-center products across lifecycle stages: inception, pre-silicon development, post-silicon bring-up, manufacturing, and deployment.

Education Requirements

BS or MS in Computer Engineering, Computer Science, 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.