Senior AI Engineer

Arm; Seattle (WA); Hybrid; USD 171,000 - 231,000; Full time

Job summary

Arm is hiring a Senior Machine Learning DevOps Engineer to design and build the ML DevOps infrastructure for production-grade deployment of data, models, and software on Edge AI solutions. You will join a multi-functional team to automate development and operations for efficient AI deliveries.

In this role you will coordinate end-to-end ML pipelines, define secure code practices, and implement repository strategies while leveraging CI/CD and containerization to deploy models to production across

Qualifications

• Proficiency with Git, AWS or Azure, and IaC tools like Terraform, Ansible, or Packer.
• Experience building and maintaining CI/CD infrastructure (Jenkins, GitLab CI, GitHub Actions).
• Strong programming/scripting skills in Python/C/C++, Linux and container tech (Docker, Kubernetes).

Responsibilities

• Coordinate the definition of workflows for Edge AI application development and build an end-to-end machine learning pipeline.
• Define secure code practices and implement a repository management strategy for proprietary or open-source software.
• Use continuous integration / continuous deployment and containerization techniques to deploy Machine Learning models to production.
• Collaborate with application and platform developers, data scientists and ML engineers to identify tooling and automation needs and subsequent solutions.
• Identify relevant metrics for DevOps and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance.

Skills

Git

AWS

Azure

Terraform

Ansible

Packer

Python

C

C++

Linux

Docker

Kubernetes

Education

Degree in CS/ Electronics or related field

Tools

Jenkins

GitLab CI

GitHub Actions

Prometheus

Grafana

ElasticSearch

Kibana

Job description

Job ID 2026-17417 Date posted 12/10/2026 Location Seattle, Washington Category Product Management

Arm is building the next generation of AI platforms for developers to build Cloud to Car and Cloud to Edge solutions in the Automotive and Industrial market segments. Companies across these industries are increasingly switching to compute technology from Arm due to our energy efficient foundations and pervasive footprint.

This is a rare opportunity to join a new team and build new products and reference implementations that will enable developers to easily utilize new Arm technology in their solutions.

Job Overview

As a Senior Machine Learning DevOps Engineer, you will design and build the ML DevOps infrastructure to streamline the deployment of data, models and software in a production-level environment. Be part of a multi-functional team and drive the automation of our development and operations processes thereby ensuring our delivery of AI applications for the Edge is effective and efficient!

Responsibilities

• Coordinate the definition of workflows for Edge AI application development and build an end-to-end machine learning pipeline
• Define secure code practices and implement a repository management strategy for proprietary or open-source software
• Use continuous integration / continuous deployment and containerization techniques to deploy Machine Learning models to production
• Collaborate with application and platform developers, data scientists and ML engineers to identify tooling and automation needs and subsequent solutions
• Identify relevant metrics for DevOps and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance

Required Skills And Experience

• Proficiency with version control systems (e.g. Git), cloud platforms (e.g. AWS, Azure) and Infrastructure as Code tools (e.g. Terraform, Ansible, Packer)
• Strong background in defining a CI/CD/CT pipeline and building and maintaining a CI/CT/CD infrastructure (e.g., Jenkins, GitLab CI, GitHub Actions)
• Robust programming and scripting skills preferably in Python / C / C++, previous experience with Linux Systems and containers (e.g. Docker, Kubernetes)
• Degree or equivalent experience in Computer Science, Electronics, or a related field

Nice To Have Skills And Experience

• Hands-on experience with CI/CT solutions for Embedded Systems (e.g. SiL / HiL) and monitoring tools (e.g. Prometheus/Grafana/ElasticSearch/Kibana)
• Knowledge in repository management tools (e.g. Gerrit, GitLab) and CI/CD pipelines for open-source projects
• Familiarity with ML frameworks (e.g. Pytorch, TensorFlow) and model testing

Additional Information

Please note that no relocation package is available for this role.

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.

Our 10x Mindset

About

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:

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.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams.

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.

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.