Senior Software Program Manager – Datacenter Compute Server
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking a Senior Software Program Manager to join the Compute Software platform team.
Our work impacts major fields, powering leading academic institutions, start-ups, and the world's largest Internet companies.
We are looking for passionate, hard-working, and creative professionals to help us achieve our engineering goals.
In this role, you will lead software and firmware execution for datacenter-class servers, rack solutions, and PCIe products.
Key responsibilities
- Work closely with software and firmware development managers, engineers, and logistical personnel to support NVIDIA GPUs HPC and AI platforms for cloud service provider customers and OEMs.
- Lead software and firmware execution for Datacenter class of Servers, Rack Solution and PCIe products, drive release schedules, and manage executive status updates.
- Collaborate across teams to collect requirements, define priorities, and drive scheduling and planning for all process implementation phases.
- Translate customer requirements into achievable goals and actions while maintaining transparent communication on issue status.
- Partner with internal and third-party teams across different time zones to help resolve customer issues.
- Manage customer releases and drive comprehensive process documentation.
- Collaborate with customer PMs on software issues, incorporating technical feedback from OEM, ODM, and CSP partners.
- Improve and maintain all processes related to enterprise support and the complete NVIDIA software stack running on NVIDIA GPUs.
Qualifications
- Minimum of 12+ years of proven experience in a similar or related role, with a BS in Electrical Engineering or Computer Science (or equivalent experience).
- Strong ability to deliver complex datacenter products to customers, with experience in datacenter servers and associated software technologies.
- Hands-on experience with software development and processes, specifically for system software and firmware development.
- Proven ability to work independently and actively with minimal direction, resolving technical issues and resource conflicts creatively.
- Strong strategic and tactical thinking skills with the ability to build consensus and detailed knowledge of software engineering principles.
- Experience with industry-standard configuration management tools, productivity tools, and process automation.
- Exceptional detail orientation and multitasking capabilities in a dynamic environment with shifting priorities.
- Excellent verbal, written communication, and technical presentation skills.
Nice to have
- Operating systems principles, Linux OS, and programming experience in modern programming languages.
- Datacenter functional knowledge and hands-on experience with PCIe boards.
- Previous experience coordinating activities between hardware, firmware, and software organizations.
- Knowledge of GPUs, NICs, and experience with Agile tools in support of the role.
Benefits
- Competitive base salary range of 200,000 USD to 322,000 USD for Level 5.
- Competitive base salary range of 240,000 USD to 379,500 USD for Level 6.
- Eligibility for company equity.
- Comprehensive employee benefits package.
Job details
- Location: Remote or on-site as determined by NVIDIA operational needs.
Application Deadline
Applications will be accepted at least until October 21, 2026.
- Base salary determination is based on location, experience, and peer pay.
About the company
NVIDIA is widely considered one of the technology world's most desirable employers, uniting forward-thinking and hardworking individuals. We value creativity and autonomy, driving innovations that impact industries globally.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
Key details from the source
- You will drive release schedules, executive status updates, and customer releases while collaborating with engineering management to refine workflows and maximize efficiency.
Full listing
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