Senior AI Engineer

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.

As a Senior Machine Learning Dev Ops Engineer, you will design and build the ML Dev Ops 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!

• 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 Dev Ops and MLOps practices and use supervision tools to safeguard development efficiency and an operation performance

• 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, Git Lab CI, Git Hub 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

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

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

$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.

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:

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…