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# Senior Firmware Engineer - CSP Engagements

- **Company:** NVIDIA Ltd.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Board Bringup, Computing Platforms, Intelligent Platform Management Interface, Big Data, C++ (Programming Language), Cloud Computing, Protocol Stack, Nvidia CUDA, Computer Engineering, Data Centers, Software Debugging, Device Drivers, Embedded Software, Firmware, General-Purpose Computing on Graphics Processing Units, PCI Express, Performance Tuning, Real-Time Operating Systems, Cloud Services, Software Engineering, System Software, Universal Asynchronous Receiver/Transmitter, Computer Network Operations, Serial Peripheral Interface, Deep Learning, Information Technology, Data Management
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-firmware-engineer-csp-engagements-ca--3df3ed4f-10f4-4265-9143-3e0f0cd2b0ee

## About the Role

Computer Firmware, Customer Relations, Network Operations Center, Computer Firmware, Computer Systems, Embedded Systems, Cloud Computing, Data Management, Protocol Stack, Software Design, * 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., 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!

## 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.