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
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: https://careers.arm.com/10x-mindset
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. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [email protected] so we can support you.
Recruitment Adjustments and Accommodations
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected] . 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 to the extent 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
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
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.
Skills Required
- Proficiency with version control systems (e.g. Git)
- Experience with cloud platforms (e.g. AWS, Azure)
- Experience with Infrastructure as Code tools (e.g. Terraform, Ansible, Packer)
- Strong background in defining and maintaining CI/CD/CT pipelines (e.g., Jenkins, GitLab CI, GitHub Actions)
- Programming and scripting skills (preferably Python, C, C++)
- Experience with Linux systems
- Experience with containers and orchestration (Docker, Kubernetes)
- Degree or equivalent experience in Computer Science, Electronics, or related field
- Hands-on experience with CI/CT solutions for Embedded Systems (SiL/HiL)
- Experience with monitoring tools (Prometheus, Grafana, ElasticSearch, Kibana)
- Knowledge of repository management tools (Gerrit, GitLab) and open-source CI/CD pipelines
- Familiarity with ML frameworks (PyTorch, TensorFlow) and model testing
Arm Compensation & Benefits Highlights
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Equity Value & Accessibility — Broad RSU grants are positioned as a core part of total rewards post‑IPO, and a 2024 ESPP allows up to a 15% discount with lookback to the lower of the start or purchase‑date price. Together these programs expand ownership opportunities across the workforce.
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Retirement Support — Investor filings state a 401(k) match of 100% up to the first 6% of employee contributions, with the same match rate cited for executives and the wider workforce. This signals strong employer support for long‑term savings.
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Leave & Time Off Breadth — Benefits include a fully paid four‑week sabbatical after four years, enhanced maternity/paternity and parental bonding leave, a quarterly Day of Care, and paid volunteering time. These offerings indicate breadth well beyond standard PTO.
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What We Do
We bring brilliant people together in a global ecosystem that is sparking the world’s potential. Arm technology enables specialized processing built on the economics, design freedom and accessibility of general-purpose compute that has, so far, led to more than 180 billion chips being shipped by our partners.
Why Work With Us
At Arm, we build the future of computing, powering everything from smartphones to AI. Our 10x mindset drives bold thinking and deep collaboration to solve complex problems together. With a people first culture, flexible work, and strong support for growth and wellbeing, your ideas can make a global impact while your career thrives.
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