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Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Arm Holdings scores A on the Alion truth index.

Overview
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Arm Holdings is a British semiconductor design company headquartered in Cambridge, England, that licenses processor architectures and CPU, GPU and system IP to chipmakers rather than manufacturing chips itself. Founded in 1990 as a joint venture of Acorn Computers, Apple and VLSI Technology, its designs are used in most smartphones and in automotive, IoT, PC and data-centre chips from companies such as Apple, Qualcomm, Samsung and Nvidia. Majority-owned by SoftBank since 2016, it returned to public markets with a Nasdaq listing in 2023 and hires hardware design, software and program management engineers in Cambridge, Bengaluru, Austin and other sites.

Job Overview

At Arm, we develop technology that enables AI and applications to run across billions of devices worldwide, from cloud to edge.

We are looking for an AI Software Engineer to optimize AI frameworks and enable efficient model deployment on Arm-based platforms. This role combines machine learning, systems engineering, and developer enablement, helping partners bring AI applications to edge, mobile, and other computing environments.

You will work hands-on with model optimization, framework and runtime integration, and cross-platform validation. Working closely with partners and Arm engineering teams, you will enable early adoption of emerging Arm technologies, including through virtual and pre-silicon platforms where appropriate.

Your analysis of application performance and system behavior will help improve Arm software, tools, and future hardware, while reusable demonstrations and technical guidance will support broader ecosystem adoption.

Key Responsibilities

  • Enable partner and open-source AI models and applications on Arm-based platforms through framework, runtime, and SDK integration.
  • Optimize model execution through techniques such as quantization, graph optimization, operator fusion, tiling, and memory optimization.
  • Profile and debug workloads across applications, frameworks, runtimes, and hardware interfaces to identify performance and compatibility issues.
  • Build reproducible workflows for cross-platform validation and benchmarking, assessing accuracy, latency, throughput, memory usage, and power efficiency where measurable.
  • Collaborate with partners and internal teams to enable emerging Arm technologies, resolve adoption challenges, and share findings through demos, technical guides, and engineering reports.

Necessary Skills and Experience

  • Strong software engineering experience in AI deployment, inference frameworks, runtimes, or performance optimization.
  • Practical understanding of neural networks, including transformer-based models or CNNs, and experience optimizing models for resource-constrained devices.
  • Hands-on experience with AI frameworks and deployment tools such as PyTorch, ONNX Runtime, LiteRT, ExecuTorch, or vendor-specific SDKs.
  • Strong Python and C/C++ skills, with experience developing and debugging software on Linux or Android.
  • Experience profiling AI workloads across software layers, identifying bottlenecks, and validating optimization results against accuracy and performance baselines.
  • Strong analytical, communication, and documentation skills, with the flexibility to work across partner applications and collaborate with external engineering teams.

Preferred Skills and Background

  • Experience with Arm architecture, Arm AI software tools, or optimization for CPUs, NPUs, and other accelerators.
  • Understanding of hardware and system performance, including compute utilization, memory bandwidth, interconnects, and thermal constraints.
  • Experience with model compression, pruning, LoRA/PEFT, or low-level kernel and inference-backend optimization.
  • Familiarity with automotive or robotics AI applications, embedded systems, or virtual and pre-silicon development environments.
  • Contributions to open-source frameworks or developer ecosystems through code, technical publications, tutorials, or demonstrations.

Education

A bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience.

Our 10x Mindset

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [email protected] so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. 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.

Equal Opportunities

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 are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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