Top Engineering Jobs

Evaluate HPE Juniper Networking software upgrade requirements, analyze release changes and software defects, assess customer network risks and impacts, and recommend appropriate upgrades, fixes, or workarounds. Prepare Japanese-language technical reports, explain findings to customers, participate in review meetings, and provide expert technical support. The role requires deep networking knowledge, infrastructure design experience, software development process familiarity, and strong analysis, communication, and presentation skills.

Leads a software switching automation lab team developing and enhancing systems software. Manages staffing, project deliverables, schedules, budgets, resources, outsourced partners, suppliers, process improvements, and technical escalations. Oversees multiple concurrent projects, ensures roadmap alignment, and supports hiring, performance management, coaching, and career development for team members.

Develop and maintain Linux kernel, platform, infrastructure, and user-space software for a next-generation network operating system. Build Yocto-based distributions, enable x86 and ARM hardware platforms, support BSP development, debug complex software and security issues, improve performance and testing, and collaborate across hardware and software teams.

Develop and maintain Linux kernel, platform, infrastructure, and user-space software for a next-generation network operating system. Build Yocto-based distributions, enable hardware platforms, support BSP development, debug complex software and security issues, and improve performance, testing, automation, and developer productivity across x86 and ARM systems. Collaborate with hardware and software teams to deliver reliable production solutions.

Provide pre- and post-sales technical and benchmarking support for HPC/AI customers; collaborate with product engineering, management, and marketing; evaluate emerging technologies; maintain knowledge of HPE and competitor HPC/AI products and optimization techniques; lead application-focused performance studies and author technical reports and recommendations.

Diagnose and resolve complex hardware issues across HPC and AI environments. Perform root-cause analysis, develop corrective actions, manage technical escalations, document service cases, coordinate on-site repairs, and support customers throughout issue resolution. Collaborate with engineering, manufacturing, R&D, and global support teams. Participate in 24x7 on-call coverage and occasional domestic and international travel to customer data centers.

Leads a 10–15-person embedded software team developing and delivering the AOS-CX Switch OS roadmap. Responsibilities include managing technical execution, project schedules, risks, budgets, resources, cross-functional collaboration, hiring, performance management, coaching, and career development. The role requires hands-on expertise in C/C++, Embedded Linux or RTOS, Python, networking, Ethernet hardware, drivers, bootloaders, board bring-up, diagnostics, and low-level debugging.

Provides expert engineering support for HPE Private Cloud Business Edition by triaging, debugging, and resolving complex customer issues across networking, storage, server hardware, operating systems, and virtualization. Leads technical escalations, collaborates with customers and product teams, develops troubleshooting tools, shares expertise with support teams, and occasionally provides after-hours standby support.

Lead multiple teams in hardware engineering to develop high-performance networking hardware while managing budgets, schedules, and aligning with business strategies. Foster leadership, drive execution, and partner with cross-functional teams for successful product delivery.

Design, develop, qualify, and maintain high-performance networking software for distributed applications and core infrastructure. Diagnose bottlenecks, optimize resource utilization, modernize legacy components, and improve scalability, efficiency, reliability, and latency through quantitative analysis. Evaluate and integrate Generative AI Agents into operational workflows and diagnostic pipelines. The role requires strong C/C++ development, networking, Linux fundamentals, data structures, algorithms, and experience building high-availability, high-throughput systems.