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Strong Tier-1 brand, mid-level generic title, and metro locations increase candidate competition.
Specialized kernel, driver, RDMA and GPU fabric skills make cross-industry transfers difficult.
Mandatory 5+ years plus kernel, driver, and RDMA expertise creates strict filtering.
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Build and maintain system software enabling efficient GPU-to-GPU communication for AI and HPC platforms.
Lead platform bring-up, feature enablement, software validation, and debugging on NVLink-based GPU and rack-scale systems.
Resolve complex software, firmware, networking, and platform issues and contribute to performance, reliability, and scalability improvements in the GPU networking stack.
Bachelor's or Master's degree (or equivalent experience) in Computer Science, Computer Engineering, or related field.
5+ years of professional software engineering experience.
Strong proficiency in C/C++ programming, debugging, and problem-solving.
Experience with Linux system programming, device driver interfacing, networking fundamentals (TCP/IP, Ethernet, RDMA/RoCE), and multi-threaded application development.
Experienced in working with GPU systems, NVLink, NVSwitch, CUDA, and large-scale AI/HPC clusters.
Demonstrates solid understanding of large-scale AI system architecture including PCIe, memory hierarchy, DMA, and high-speed interconnects.
Skilled in server management, data center operations, cluster provisioning, and software quality assurance techniques including code analysis and performance validation.