Hardware DevOps Engineer

Are you passionate about automation of complex digital hardware engineering flows? This is a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on the cutting edge of Arm IP, you will take part in crafting technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more!

Responsibilities:

In our growing and versatile team, you’ll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Collaborating with experts across global design centers, you’ll drive impactful projects and help deliver Arm’s next-generation IP using the most sophisticated tools and methodologies.

As a hardware DevOps engineer, you will make a difference by driving the design and implementation of innovative automation solutions, pushing beyond what the hardware industry normally does in areas like containerization, infrastructure-as-code, cloud-based compute. Leaning on your deep understanding of modern CI/CD practices, cloud infrastructure, and digital hardware design and verification workflows, you will build reliable, resilient workflows that improve engineering efficiency, the quality of products and minimise toil.

Required Skills and Experience :

• A university degree in Computer Science, Electrical Engineering, or a similar subject, or other equivalent experience.
• Strong delivery record in automation of engineering environments at scale.
• Proficient using Python as well as one or more other scripting languages (such as Bash, Perl, Groovy).
• Experience working with CI/CD tools such as Jenkins, Gerrit, Docker, Artifactory
• Experience working with software stack of data storage and visualizer systems e.g. ELK
• Experience using source control systems, preferably Git.
• Ability to solve complex problems and understand sophisticated systems.
• Excellent written and verbal communication skills.
• Experience in task planning and making realistic effort and timescale estimates.

Additional Qualities That Will Help Your Application Stand Out:

• Experience in RTL verification tools and workflows.
• Knowledge of Infrastructure-as-Code such as Terraform, Puppet, Ansible, CloudFormation.
• Knowledge of digital hardware and some hardware description language.
• Knowledge of machine learning / AI fundamentals.

In Return:

With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly proficient engineers. As well as a friendly and high-performance working environment, Arm offers a competitive benefits package, and we have a hybrid working approach where we offer people the flexibility to split their time between home and the office.

This position can be either located in Cambridge or Lund.