Senior Firmware Engineer – CSP Engagements

Nvidia

Actively hiring Posted this week Verified listing
Santa Clara, CA Posted 6 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

NVIDIA is hiring a Senior Firmware Engineer for its CSP Engagements team, focusing on developing system software for data center products like GB200. This role involves designing firmware solutions for manageability and observability in data centers, participating in hardware bring-up activities, and working with DMTF protocols such as Redfish and PLDM. The engineer will debug GPU firmware issues, collaborate closely with cloud service providers to deliver technical solutions, and work on advanced system debugging and performance optimization. Essential skills include deep expertise in embedded firmware development, knowledge of C/C++ for resource-constrained environments, and experience with RAS and telemetry frameworks. Candidates should have a background in computer engineering or related fields and 8-12 years of relevant experience, ideally including GPU computing and memory fabric architectures.

Skills

C/C++ Redfish PLDM MCTP SPDM I2C SPI UART PCIe RTOS CUDA Docker Git JIRA Confluence Python PostgreSQL AWS Kubernetes CI/CD

What you'll do

  • Design and develop firmware solutions for manageability and observability in data center servers.
  • Participate in hardware bring-up activities and OOB firmware development for Cloud Service Provider deployments.
  • Debug and troubleshoot GPU firmware issues, power management, performance, and thermal control problems.
  • Partner with CSPs to deliver technical solutions, co-develop features, and provide support during new product introductions.
  • Perform advanced system debugging, root cause analysis, and performance optimization in large-scale data center environments.

What we're looking for

  • Deep expertise in data center server architectures and hardware-software co-design.
  • Proven experience developing embedded firmware for production BMC solutions.
  • Strong knowledge of DMTF protocols, telemetry frameworks, and out-of-band management.
  • Expert skills in C/C++ for resource-constrained environments and low-level protocols.
  • Experience with RAS including error handling, injection, isolation, and health monitoring.
  • BS or MS in Computer Engineering, Science, or related field with 8-12 years of experience.
  • Knowledge of GPU computing (CUDA) and deep learning workloads.

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $236k
$113k most similar roles pay here $306k

This role pays more than 88% of similar roles. Most pay $142,400–$217,725 — the shaded band above. At the midpoint, this role pays about $236k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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