Software Engineer - C/C++ , Dataplane, Forwarding, Layer 2

Job Summary

Meet the Team

MIG Platform Forwarding team, the engine room behind the world's most robust service provider networks. We build the high-performance data plane software that powers IOS-XR platforms, leveraging cutting-edge Silicon One (SiOne) Network Processing Units (NPUs).

Our team operates at the intersection of hardware and software, defining how packets traverse the internet backbone. We are transitioning into a new era of embedded development, utilizing modern AI-assisted methodologies to deliver features faster and with higher quality.

Your Impact

As a Software Engineer, you will focus on the hands-on design, coding, and optimization of our forwarding software. You will be responsible for delivering high-quality code for complex Layer 2 and Layer 3 forwarding features, ensuring they extract maximum performance from our NPUs. You will act as a key technical contributor, utilizing modern software practices and AI-driven workflows to streamline development and debugging.

Key Responsibilities

• Feature Design & Implementation : Own the design and development of specific forwarding features within the IOS-XR platform. Write high-performance, production-grade code for QoS, Mirroring, Slowpath, OAM, Layer 2 (EVPN, VPLS) and Layer 3 (SRv6, Segment Routing, MPLS) technologies.

• NPU Data Plane Programming: Implement data plane logic to optimize packet processing. Translate network protocol requirements into efficient NPU microcode and SDK interactions.

• Debugging & Root Cause Analysis : Investigate and resolve complex software defects found during internal testing or customer deployments. Analyze logs, core dumps, and packet traces to distinguish between NPU behavior and software logic issues.

• Performance Optimization: Profile and tune code to minimize latency and maximize throughput, ensuring the software meets strict service provider performance metrics.

• Modern Development Practices : Actively utilize AI/LLM-based tools for code generation, unit test creation, and static analysis to improve individual productivity and code quality.

• Embedded Development: Strong proficiency in C/C++ for high-performance embedded systems. Proficiency in Python for scripting and test automation.

• NPU Familiarity: Working knowledge of NPU-based data plane architectures (e.g., Broadcom DNX, Silicon One, or ezChip). Understanding of pipelining, table management, and packet processing flows.

• Forwarding Protocols (L2/L3): Strong understanding and implementation experience in QoS, Mirroring, OAM, Layer 2 (EVPN, VPLS) or Layer 3 routing (SRv6, Segment Routing, MPLS, IPv4/v6). Implementation experience with TE-Tunnels, GRE tunnels, BFD, BGP Flowspec, ACLs, or Slowpath forwarding mechanisms.

• Network Knowledge & Debugging :

• Service Provider Context: Understanding of router deployments in Service Provider networks (Core, Peering).

• Technical Troubleshooting: Ability to debug issues at the component level, including hardware/software interactions and memory management.

• Methodology : Modern SDLC: Experience with CI/CD pipelines, Git, and code review processes. Willingness to adopt AI/LLM-based tools to enhance coding efficiency and automated testing.

  Minimum Qualifications

• BS/MS in Computer Science, Electrical Engineering, or related field.

• 6-10 years of experience in embedded software development for networking products.

• Strong programming skills in C/C++ and scripting in Python

• Solid knowledge of carrier-grade networking OS and forwarding architectures.

• Experience debugging complex embedded software issues.

• Experience working on tools such as Clearcase, Valgrind, DDTS, GDB, etc.

  Preferred Qualifications

• Experience with IOS-XR or similar carrier-grade network operating systems.

• Knowledge of Internet Protocols (TCP/UDP, IPv4/IPv6).

• Exposure to Networking Protocols (L2/L3, QoS, ACLs).

• Experience with BCM , Sione,, Ezchip NPU programming

• Familiarity with AI/ML tools for software engineering (e.g., Copilot for code, AI for log analysis).

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