Job description

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: • Design and develop firmware solutions for manageability and observability of data center servers. • Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. • Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. • Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. • Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. • Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: • Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. • Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions • Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures • Expert-level skills in C/C++ in resource-constrained embedded environments, RTOS, device drivers, and low-level protocols (I2C, SPI, UART, PCIe, MCTP). • Experience with RAS including error handling, error injection, fault isolatio, and system health monitoring. • BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience). • 8-12 years of system software development experience. Ways to stand out from the crowd: • Knowledge of cloud and cluster level deployment and management systems. • Experience with GPU computing (CUDA), deep learning workloads. • Knowledge of Memory fabric and CXL architectures. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, we want to hear from you! Do you want to join a team of highly motivated and experienced program managers who drive the successful introduction of NVIDIA's next generation GPU/CPU based products? We work closely with internal leaders in Software, Hardware, Firmware, Marketing and Operations to ensure the SW team delivers outstanding products while operating across multiple functional units and all levels of management to achieve Time-To-Market. As part of the team, your knowledge of driver, firmware, diagnostics and the SW stack development processes and priorities will enable you to swiftly make the course adjustments needed to keep these complex projects on track! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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

Design and develop firmware solutions for manageability and observability of data center servers.
Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments.
Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs.
Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions.
Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments.
Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation.
Deep expertise in data center server architectures, HPC systems, and hardware-software co-design.
Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions
Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures
Expert-level skills in C/C++ in resource-constrained embedded environments, RTOS, device drivers, and low-level protocols (I2C, SPI, UART, PCIe, MCTP).
Experience with RAS including error handling, error injection, fault isolatio, and system health monitoring.
BS or MS in Computer Engineering, Computer Science, or related field (or equivalent experience).
8-12 years of system software development experience.
Knowledge of cloud and cluster level deployment and management systems.
Experience with GPU computing (CUDA), deep learning workloads.
Knowledge of Memory fabric and CXL architectures.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 2, 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

Platform: eightfold
Effort: medium