Principal Software Engineer, GPU Firmware, GPU System Software

NVIDIA

Principal Software Engineer driving GPU firmware and software work streams in CSP Engagements team at NVIDIA. Collaborating with engineers to optimize GPU operations for hyperscale customers.

Posted 6/27/2026full-timeSanta Clara • California, Oregon, Texas • 🇺🇸 United StatesLead💰 $272,000 - $431,250 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

equity
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Hard Skills & Tools

GPU FirmwareGPU SoftwareGPU ArchitectureMulti-GPU Fabric ArchitectureFirmware Update Lifecycle ManagementError HandlingHealth MonitoringTelemetryCompute KernelsMemory Hierarchy

Soft Skills

Customer ObsessionInfluencingCollaborationDocumentationProblem Solving

Certifications

BS in Computer ScienceMS in Electrical Engineering