Senior Software Engineer-Networking for AI
Join to apply for the Senior Software Engineer-Networking for AI role at Arm
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.
Team and Role
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.
About You
* 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.
Requirements
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).
Desirable Skills & Experience
* 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).
Accommodations at Arm
Arm is committed to accommodating candidates during the recruitment process. If you need support, please email accommodations@arm.com. By sending the requested information, you consent to its use to arrange appropriate accommodations. Examples include breaks between interviews, documents read aloud, or office accessibility. All accommodation requests are confidential.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Hybrid Working at Arm
Arm’s hybrid approach to working balances in-office collaboration with flexibility. Details of what this means for each role will be shared upon application. Where flexibility is limited by local legal, regulatory, tax, or other considerations, we will work with you to find the best solution.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Semiconductor Manufacturing
* Software Development
* Computer Hardware Manufacturing
Cambridge, England, United Kingdom
Referral information and other job postings may be present but are not part of the core description.
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