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Principal Software Engineer, GPU Firmware and GPU System Software — CSP Engagements

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Austin, TX, Hybrid (Remote (CA)), Hybrid (Remote (OR))$272k - $431.3kFull-timePosted 3mo ago

About the role

Technical focal point for GPU firmware and GPU system software, partnering with CSP/hyperscale customers to enable fleet-scale management, updates, and operation of NVIDIA GPU firmware; leads cross-CSP work streams, collects feedback for the feature roadmap, and ensures customer-side automation and recovery procedures are ready before firmware releases.

Responsibilities

  • Drive GPU firmware & software work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power management
  • Gather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan
  • Drive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rack
  • Serve as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integration
  • Identify cross-CSP GPU SW/FW issue patterns — common update failures, recovery gaps, and configuration problems — and drive documentation, tooling, and test strategy improvements

Qualifications

  • 15+ years of experience in GPU system software, GPU firmware, or accelerator platform engineering
  • BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • Deep understanding of GPU architecture internals: streaming multiprocessors, GEMM execution, compute kernels, memory hierarchy, and how firmware/driver decisions impact GPU compute performance
  • Understanding of multi-GPU fabric architectures (NVLink, or similar) and how firmware coordinates across multiple GPUs in a rack-scale system
  • Understanding of GPU firmware architecture: VBIOS, GPU microcontroller firmware, InfoROM, and their interaction with the GPU driver stack
  • Experience with firmware update lifecycle management at scale: multi-device update sequencing, A/B updates, rollback, staged rollout, emergency recovery
  • Understanding of GPU error handling and recovery flows — how firmware-level errors propagate through the driver stack to application-visible failures
  • Experience with GPU health monitoring and telemetry: Xid errors, thermal events, power events, ECC counters, and their significance for firmware/software teams
  • Customer obsession — genuine passion for simplifying GPU firmware integration for fleet-scale customers. Proven success influencing engineering teams to improve quality and fleet manageability

Skills

Required:GPU firmware architectureGPU architecture
Nice to have:Firmware update lifecycle management

Benefits

  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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