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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, GPU Firmware and GPU System Software - CSP Engagements - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Salary:** $272,000.0 - **Contract:** Permanent contract - **Skills:** Configuration Management, Software Debugging, Disaster Recovery, Firmware, Software Engineering, System Software, Systems Integration, Strategies of Testing, Graphics Processing Unit (GPU), Information Technology - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-software-engineer-gpu-firmware-and-gpu-system-software-csp-engagements-santa-clara-ca--e648cba3-cc74-41a1-87c9-3126d9c15233 ## About the Role Software Engineering, GPU (Graphics Processing Unit), Computer Firmware, Software Engineering, Vehicle Fleets, Automation, Computer Firmware, GPU (Graphics Processing Unit), Process Improvement, System Integration (SI), * 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 Ways to stand out from the crowd: * Direct experience with NVIDIA GPU VBIOS, GPU microcontroller firmware, or GPU driver internals * Background in GPU fleet management at 10K+ GPU scale - firmware rollout, health-based remediation, fleet-wide configuration management * Experience with GPU error taxonomy (Xid classification, NVLink error counters, ECC events) and building runbooks around GPU firmware behavior * Understanding of GPU security: secure boot chain, code signing, attestation, debug authentication, multi-tenancy isolation at the firmware level * Familiarity with GPU power management architecture and its impact on workload performance at fleet scale ## Description We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone. What you'll be doing: * Drive GPU firmware & siftware 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