Nvidia Senior Firmware Engineer – CSP Engagements 

United States, California 

391352507

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.