Job description

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We are looking to grow our company and establish teams with the most thoughtful people in the world. We’re looking for a highly motivated, creative Factory System Software and Diagnostics Integration engineer to join the Datacenter Platform Software team. You will play a crucial role in coordinating factory projects, guiding cross-functional teams, and collaborating with stakeholders to ensure the successful delivery of firmware, software and diagnostics that align with business objectives, as well as analyzing, evaluating, and improving factory processes. This role is for NVIDIA's GPU or DPU based products. Join us at the forefront of technological advancement. What you’ll be doing: • You will Lead Factory Validation projects from Software, Firmware and Diagnostics perspectives, ensuring successful implementation, integration, and standardization across multiple locations. • Lead the integration and handover of the Software, Firmware and Diags for all products. • Act as a primary consultant, offering strategic direction and leadership to the engineering teams. • Engage with ODMs and cross-functional teams to collect and analyze factory requirements, delivering solutions that meet both business and operational needs. • Analyze Factory processes, systems, and workflows to identify areas for improvement and optimization. • Develop and maintain detailed documentation, including system requirements, processes and standard operating procedures (SOPs). Collaborate across teams to design, configure, and implement changes to factory ensuring seamless integration and minimal disruption. • Perform system testing, validation, and fixing to ensure exact functionality and alignment with factory requirements. • Monitor, collect, and analyze data to identify and address issues, and propose solutions to enhance system reliability and efficiency. Collaborate with vendors and external partners to evaluate, select, and implement new factory systems or software/firmware upgrades. What we need to see: • 5+ years of relevant experience. • BS, MS, or PhD in EE/CS or related field of education (or equivalent experience). • 2-5 years of having worked as an Integration Engineer at Factory settings. • Strong knowledge of server manageability, bring up and deployment in data centers. Proven understanding of Firmware, Diagnostics for x86 and ARM servers • Experience working with ODM/OEMs to deliver quality servers. • Strong and demonstrable skill in python, C/C++, and shell scripting. • Experience programming and debugging skills for GPU platforms. • You should possess excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding. Ways to stand out from the crowd: • Worked on Factory integration or hardware bring up projects. • Hands on with x86 or ARM system architecture. NVIDIA is considered 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 and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 31, 2026. 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.

Requirements

Must-haves

You will Lead Factory Validation projects from Software, Firmware and Diagnostics perspectives, ensuring successful implementation, integration, and standardization across multiple locations.
Lead the integration and handover of the Software, Firmware and Diags for all products.
Act as a primary consultant, offering strategic direction and leadership to the engineering teams.
Engage with ODMs and cross-functional teams to collect and analyze factory requirements, delivering solutions that meet both business and operational needs.
Analyze Factory processes, systems, and workflows to identify areas for improvement and optimization.
Perform system testing, validation, and fixing to ensure exact functionality and alignment with factory requirements.
5+ years of relevant experience.
BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
2-5 years of having worked as an Integration Engineer at Factory settings.
Strong knowledge of server manageability, bring up and deployment in data centers. Proven understanding of Firmware, Diagnostics for x86 and ARM servers
Experience working with ODM/OEMs to deliver quality servers.
Strong and demonstrable skill in python, C/C++, and shell scripting.
Experience programming and debugging skills for GPU platforms.
Worked on Factory integration or hardware bring up projects.
Hands on with x86 or ARM system architecture.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: eightfold
Effort: medium