Developer Relations Engineer On-Device AI (Edge & Mobile)

Developer Relations Engineer

• On-Device AI (Edge & Mobile) Arm
• 4.1 Austin, TX Job Details $170,900
• $231,200 a year 1 day ago Qualifications AI models Performance tuning Computer science Computer Science PyTorch Quantization Mid-level Master's degree C Bachelor's degree Model deployment Embedded software Content development Master's degree in computer science ARM Benchmarking Machine learning libraries AI Bachelor's degree in computer science Machine learning frameworks Developing technical user guides Full Job Description Job

ID 2025-16375

Date posted May. 01, 2026 Location Seattle, Washington; Austin, Texas Category Software Engineering 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. #LI-KC1

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 . 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 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 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 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.