Senior Software Engineer, Systems Licensing Technologies

About this role

Senior Software Engineer, Systems Licensing Technologies

The systems software engineer position in the US is a critical role that requires the engineer to work in tight integration with several cross functional teams.

This position requires solid understanding of systems software. This is a multi-functional role requiring general systems knowledge and strong debugging skills on our variety of platforms and technologies including the complex Multi-PU platforms.

In addition to the system software knowledge, this individual will work closely with cross functional teams viz, Product Management, Engineering Management, Global and Local License Manager development teams, A10 Control Development Team and the Quality Assurance teams to implement Product, Modular, Flexpool, Feature and Capacity licensing in Virtual and Thunder ACOS devices. These licenses are tuned by Product Management to match market needs and require close interaction with Engineering.

The engineer also works hand in hand with QA folks debugging real time issues related to blocking issues on QA systems that are deploying and testing these capabilities. This individual will be part of the systems team that works very closely with TAC (Support) on critical customer issues in all system capabilities including licensing. These issues require quick turnaround and at times require cross-functional collaboration to root cause and resolve issues in a timely manner.

This engineer will need to navigate across all of A10’s platforms, including Container, Virtual, Bare Metal and physical Hardware devices. They will need to understand complex high end device architecture including A10’s top end Multi-PU platforms which are deployed by A10’s top Service Provider customers.

This system engineering’s hand-in-glove interaction with the Hardware team leads to timely new products, capabilities and functionality releases.

On a regular basis the Application teams require help from seasoned System team engineers who have core system knowledge and system debugging skills to root cause tough Customer found defects and QA platform specific issues.

Key Duties:

Participate in the development of network system software and architecture. Work with senior engineers to provide functional and design specifications for features. Design and implement infrastructure through Command Line Interfaces (CLI), Web User Interface (WebUI), and management applications from A10 or third parties. Test newly developed software through rigorous test methodology and automation infrastructure to ensure sufficient coverage and consistent results. Document code appropriately with comments and work with the product documentation team to develop and review user documentation. Support QA in final product testing phase. Assist customer support team in addressing customer reported issues and deliver patches.

Experience/Knowledge:

• Strong C/C++ programming skills in development with multithreading, multicore, and real-time high availability embedded systems such as Linux, RTOS or similar OS,
• Hands-on experience in multi-threading, multi-core, and real-time high availability embedded systems
• Good understanding of networking protocols such as TCP/IP, UDP, HTTP/HTTPS, and related technologies
• Good understanding of control plane and data plane architecture in networking devices
• Experience working with device management and software license platforms is preferred
• Experience working with device and license management platforms
• Familiarity with Cloud platforms such as Amazon Web Services (AWS), Google Cloud (GCP), Oracle Cloud Infrastructure (OCI), or similar cloud environments
• Familiarity with GPU architectures and GPU programming technologies
• Exposure to AI inference acceleration and heterogeneous computing (CPU/GPU/DPU) is a plus

Education:

• Require Bachelor or Master’s degree in CS/EE/CE or 2+ years of related field

AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Targeted compensation guideline: $130,000 - $140,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.