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123 Cisco Systems (India) Private Limited is seeking an experienced Software Engineer to design, implement, and optimize forwarding software for Layer 2 and Layer 3 features on high‑performance NPUs within the IOS-XR platform.
You will work on QOS, Mirroring, OAM, EVPN/VPLS, SRv6, MPLS, and related technologies, using C/C++ and Python, and apply AI‑driven methods to speed up development and debugging.
You will join the 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's backbone. We are transitioning into a new era of embedded development, utilizing modern AI-assisted methodologies to deliver features faster and with higher quality.
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.
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.
Implement data plane logic to optimize packet processing. Translate network protocol requirements into efficient NPU microcode and SDK interactions.
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.
Profile and tune code to minimize latency and maximize throughput, ensuring the software meets strict service provider performance metrics.
Actively utilize AI/LLM-based tools for code generation, unit test creation, and static analysis to improve individual productivity and code quality.
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