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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, AI Inference Runtime - **Company:** ARM - **Location:** Seattle, WA, United States - **Salary:** $262,700.0 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Compilers, Computer Programming, Extract Transform Load (ETL), Software Debugging, Programming Tools, Memory Management, Python (Programming Language), Linux Kernel, Machine Learning, Open Source Technology, AI Infrastructure, Rust (Programming Language), Concurrency, Parallel Computation, Distributed Inference, AI Platforms, Low Latency, Machine Learning Operations, Model Inference - **Published:** October 26, 2026 - **Apply:** https://www.jofdav.com/jobs/60238452-principal-software-engineer-ai-inference-runtime ## About the Role * 12+ years of experience, or equivalent demonstrated impact, in ML systems, high-performance systems, compilers, kernel development, or production AI inference. * Deep understanding of modern AI inference, including model execution, Attention, MoE, batching, prioritisation, and KV-cache behavior. * Strong programming skills in C++, Rust, Python, or a comparable language, with knowledge of concurrency, parallel programming, handling of memory resources, and data movement. * Proven ability to profile, debug, and optimize performance across kernels, runtimes, frameworks, operating systems, and hardware. "Nice To Have" Skills and Experience : * Experience developing or modifying inference schedulers, cache managers, batching systems, disaggregated or distributed execution paths. * Experience optimizing kernels using accelerator programming tools, assembly, or intrinsics, including attention, matrix multiplication, operator fusion, and low-precision execution. * Familiarity with model parallelism, collective communication, high-performance networking, compilers, or graph optimization. * Contributions to open-source ML runtimes, frameworks, compilers, or kernel libraries. ## Description As a Principal Software Engineer on our AI Inference Runtime team, you will set technical direction for critical components of distributed Inference runtime for running SOTA AI Models. You will lead hands-on work across scheduling, batching, KV-cache management, memory allocation, distributed workload execution, kernel development and optimization, and performance benchmarking and analysis. Your work will directly influence how efficiently new models use available compute. Partnering with our AI Infrastructure, compute, and product teams to enhance the performance and efficiency of Arm's AI platform., * Define the architecture, interfaces, and roadmap for AI inference runtime capabilities, including abstractions that support evolving models, workloads, and compute platforms. * Enable new model architectures end to end through operator support, production validation, and optimization of scheduling, batching, model execution, memory management, and KV-cache efficiency. * Profile system bottlenecks and develop optimized kernels and data-movement paths across compute, memory, networking, and framework integration. * Evaluate new inference techniques and build benchmarking, regression, validation, and safe-rollout systems to improve latency, throughput, reliability, and resource efficiency. * Partner with cloud, framework, compiler, hardware, and research teams; lead technical reviews, mentor engineers, and establish meticulous performance-engineering practices., At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. ## About Arm Arm is the industry’s highest-performing and most power-efficient compute platform with unmatched scale that touches 100 percent of the connected global population. To meet the insatiable demand for compute, Arm is delivering advanced solutions that allow the world’s leading technology companies to unleash the unprecedented experiences and capabilities of AI. Together with the world’s largest computing ecosystem and 22 million software developers, we are building the future of AI on Arm. 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