高级软件开发工程师(AI/机器学习)

calix· 71 CDC
Apply Now ↗
📍 NanjingFull time
Full time71 CDC

About this role

The Calix platform enables Communication Service Providers (CSPs) of all sizes to transform and future-proof their businesses. Through real-time data, automation, and actionable insights delivered via Calix One — our cloud-first, AI-powered platform — CSPs can simplify operations, collapse cost, and accelerate innovation. Calix One brings together the automation of everything and the experience of one, empowering customers to deliver differentiated subscriber experiences while driving acquisition, loyalty, and revenue growth. This is the Calix mission: to enable CSPs of all sizes to simplify, innovate, and grow, strengthening both their businesses and the communities they serve.

We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences.

We are part of the Calix AXOS team, focusing on the development of robust and scalable edge network devices for access networks.
The team works on core networking and system software, building production-grade solutions that run in real operator environments.

Our goal is to deliver reliable, high-quality software for access network and edge devices, turning complex system requirements into stable, maintainable products.

Responsibilities

  • Develop and maintain software for Access Network Systems and Edge Devices

  • Participate in the design, implementation, and delivery of network device software

  • Analyze, debug, and resolve issues in real network and device environments

  • Work on system-level features such as configuration, management, diagnostics, and reliability

  • Collaborate with cross-functional teams to deliver production-grade solutions with high quality standards

Basic Qualifications

  • Bachelor or master’s degree of Telecom/Computer Science or majors related.

  • 5 ~ 8 years’ experience in real-time Embedded Operating Systems.

  • Solid programming skills in at least one mainstream language (e.g., C, C++, Python)

  • Strong problem-solving skills and hands-on ability; able to dive into systems and drive issues to real-world resolution

  • Rich experience on Linux OS

  • Good understanding of access network fundamentals, including Layer 2, Layer 2.5, and basic PON concepts such as: ERPS, RSTP, G.8032, IGMP, DHCP, DHCPv6, PPPOE, LACP etc.

Preferred Qualifications

  • Project experience with PON products.

  • Strong hands-on experience in AI and machine learning

Frequently Asked Questions

Is the salary disclosed for the 高级软件开发工程师(AI/机器学习) position at calix?
The salary for this 高级软件开发工程师(AI/机器学习) role at calix is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the 高级软件开发工程师(AI/机器学习) position at calix located?
This 高级软件开发工程师(AI/机器学习) role at calix is based in Nanjing. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the 高级软件开发工程师(AI/机器学习) role at calix full-time or part-time?
This is listed as a Full time position. It is posted as a 高级软件开发工程师(AI/机器学习) role in the 71 CDC department at calix.
Which team or department does the 高级软件开发工程师(AI/机器学习) at calix belong to?
This 高级软件开发工程师(AI/机器学习) position is part of the 71 CDC department at calix. See the full job description for more information about the team structure and responsibilities.
How do I apply for the 高级软件开发工程师(AI/机器学习) position at calix?
Click the "Apply Now" button on this page. You will be redirected to calix's official application portal hosted on workday where you can submit your application directly.
When was the 高级软件开发工程师(AI/机器学习) job at calix posted?
This 高级软件开发工程师(AI/机器学习) position at calix was posted on Jul 14, 2026. Apply as soon as possible — early applications are often reviewed first.
高级软件开发工程师(AI/机器学习)
calix
Apply for this role ↗

You'll be redirected to calix's official application page on Workday.