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By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI β€” the next era of computing β€” with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as β€œthe AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major Software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Experience in working with the Linux and open-source software communities Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, su

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 β€” 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 β€” covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance β€” and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery plan Drive GPU firmware update orchestration for large-scale deployments β€” 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 β€” 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 β€” common update failu

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