AI is moving to the edge-onto the devices people use every day. At Arm, you'll help make that shift real by enabling developers to run powerful, efficient AI locally, unlocking faster, more private, and more accessible experiences at global scale.
We are looking for a Developer Relations Engineer to accelerate on-device AI across Arm-based platforms. This role sits at the intersection of machine learning, systems optimization, and developer experience, focused on helping developers deploy AI models efficiently on edge and mobile devices.
In this role, you will help transform large foundation models into production-ready, resource-efficient solutions using techniques such as distillation, quantization, pruning, and parameter-efficient fine-tuning (e.g., LoRA/PEFT).
You will translate complex technical capabilities into clear, actionable guidance through high-quality content-including reference implementations, performance benchmarks, and best-practice guides-and work across runtimes, compilers, and inference frameworks to ensure optimized execution on Arm architectures.
You will also collaborate with ecosystem partners and engage the developer community through workshops, talks, and hands-on support, driving adoption and shaping best practices for edge AI development.
Core Deliverables:
* Enable developers to deploy efficient AI models on-device through optimization techniques such as distillation, quantization, pruning, and LoRA/PEFT.
* Build and maintain reference implementations showcasing end-to-end workflows for edge and mobile AI deployment.
* Develop technical guides, tutorials, and benchmarking reports focused on performance and efficiency on Arm platforms.
* Partner with ML frameworks and tooling ecosystems to optimize runtimes and ensure production readiness.
* Engage with the developer community through events, workshops, and content to drive adoption of on-device AI.
* Identify gaps in tooling and workflows, and influence roadmap through direct feedback and contributions.
Preferred Qualifications:
* Bachelors or Masters in Computer Science, or equivalent experience
* Strong experience in Python, Embedded, C/C++.
* Familiarity with edge AI constraints (latency, memory, power) and techniques to address them.
* Experience with ML frameworks (e.g., PyTorch, TFlite) and inference runtimes.
* Systems-level understanding of performance optimization on CPUs/NPUs/accelerators.
* Proven ability to communicate sophisticated technical topics clearly to developers.
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Salary Range:$170,900-$231,200 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
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 at Arm
Arm's approach to hybrid working is designed to create a working environment that supports both high perf
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