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NVIDIA

Senior Firmware Engineer – CSP Engagements

NVIDIA
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onsite senior full-time $95k-$120k Santa Clara

First indexed 12 May 2026

Description

Join our CSP Engagements team as a Senior Firmware Engineer, 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.

Key Responsibilities:

  • 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.

Requirements:

  • 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 isolation, 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.

Nice to Have:

  • 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.