The Developer Relations Engineer will enhance on-device AI by enabling developers to run AI models efficiently on Arm platforms. Responsibilities include creating optimization techniques maintaining implementation references developing guides and engaging with the developer community.

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:
$170900-$231200 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
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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.