Senior Software Engineer-Networking for AI

Arm leads in microprocessor technology, powering a global ecosystem of 1,000+ partners and 90 billion processors. Our innovations are shaping the future of computing, from AI data centres to cloud networking.

Join a dynamic team developing and optimising software for Arm’s next-generation application processors. You’ll work with cutting-edge technology—often before public release—on development platforms, software models, FPGAs, and early silicon.

As a Software Engineer in the IAS Networking team, you will:

• Design, develop, and optimise high-performance networking software on Arm platforms.
• Work closely with internal and external partners to enhance networking stacks.
• Contribute to open-source projects by developing, upstreaming, and maintaining code.
• Adapt quickly to different layers of the networking software stack.

• Skilled in C/C++/Python programming and optimisation.
• Strong foundation in multicore processor architectures.
• Experienced in contributing to open-source software development.
• Analytical problem solver who thrives on innovation.
• Collaborative team player who enjoys learning and growing with others.

Essential Skills & Experience

• Proficient in C/C++/Python and scripting languages.
• Knowledgeable in computer architecture and operating systems.
• Strong grasp of data structures, algorithms, and multi-core programming.
• Experienced with distributed version control systems (e.g. Git).
• Clear, effective communicator (both written and verbal).

• Familiarity with open-source development cycles and contribution processes.
• Experience in software development on Arm, x86, or other architectures.
• Hands-on expertise in data plane networking software and debugging.
• Background in AI networking stacks, including:
• RDMA/RoCE, libFabric
• Collective communication libraries (OpenMPI, Gloo, OneCCL, NCCL)
• PyTorch-based inference/training applications
• Practical experience with open-source networking projects (e.g. DPDK, VPP).
• Understanding of L2-L7 networking, I/O performance, and cloud-native tech (Kubernetes, CNIs, service meshes).