Principal Software Engineer, GPU Firmware, GPU System Software

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced GPU firmware engineer to drive collaboration with CSP teams on firmware architecture and power management. You will advance update sequencing and ensure seamless large-scale deployments across racks of GPUs.

The role requires deep GPU architecture knowledge, experience with NVLink-like fabrics, and a track record of influencing engineering teams to improve quality and fleet manageability. A customer-focused mindset is essential for fleet-scale integration.

Qualifications

• 15+ years in GPU system software, GPU firmware, or accelerator platform engineering.
• BS or MS in Computer Science, Electrical Engineering, or related field.
• Deep understanding of GPU architecture internals: streaming multiprocessors, GEMM execution, compute kernels, memory hierarchy.
• Understanding of multi-GPU fabric architectures (NVLink) and how firmware coordinates across 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.

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

Skills

GPU firmware

GPU system software

Multi-GPU fabric NVLink

Firmware architecture

Update lifecycle management

Error handling & recovery

GPU telemetry

Fleet-scale adoption

Influence engineering teams

Customer focus

Education

BS/MS in Computer Science or Electrical Engineering or related field

Job description

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

Requirements

• 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