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.