Are you curious about the intersection of Machine Learning, DevOps, and EDA software? Do you enjoy programming, exploring innovative technologies, and solving challenging problems?
We are looking for an enthusiastic intern to join us in Arm’s Sophia Antipolis office to work across our QA/DevOps and PE-AI teams.
Arm’s Sophia Antipolis design centre is located in one of the most vibrant and beautiful regions of France - the French Riviera. The site plays a key role in designing industry-leading Arm Cortex™ CPUs, which power billions of devices globally across smartphones, tablets, embedded systems, and beyond!
Job Overview:
At the intersection of our QA/DevOps and Productivity Engineering – AI (PE-AI) teams, this is an opportunity to contribute to Arm’s ongoing integration of AI-driven EDA tools into our engineering workflows.
This internship will provide you with hands-on experience across QA, DevOps, AI tooling, and software engineering. You will be encouraged to explore new technologies, and take initiative while learning from experienced mentors in both infrastructure and AI domains.
What could you be doing as an ML-EDA DevOps Intern?
- Work collaboratively across teams to integrate and evaluate machine learning-based EDA tooling within Arm’s internal infrastructure.
- Engage with internal partners to understand their workflows, challenges, and use cases for AI-enhanced solutions.
- Assist in the design, validation, and measurement of tool effectiveness and efficiency.
- Gain exposure to infrastructure development, MLOps, and DevOps best practices in a real-world semiconductor engineering environment.
Project specifics will be discussed during the interview to match your interests and skills.
We’ll support you with:
- Dedicated mentoring and technical guidance.
- A collaborative team environment across disciplines.
- Opportunities to learn and grow in fields such as machine learning, DevOps, software infrastructure, and data engineering.
We are looking for individuals who:
Are currently pursuing a Master’s degree (BAC+5 or equivalent) in Computer Science, Electronics Engineering, AI/ML, or a related field, and are available for a 5–6 month internship. Preferred candidates will have:
- Programming experience in Python, C++, or a similar language.
- Familiarity with UNIX-based systems and shell scripting.
- Interest in machine learning, DevOps, or data science applications in engineering environments.
- Strong communication skills and fluency in English (written and spoken).
Qualities that will help your application stand out:
- Exposure to tools such as Git, Docker, or Jenkins.
- Experience working on collaborative or open-source projects.
- Curiosity about MLOps and scalable ML systems.
Additional Information
We encourage early applications as we review them on a first come/first served basis.
Arm Internships require you to be enrolled in a higher education degree.
French Law requires students to complete an internship agreement (Convention de Stage). This is a tripartite agreement signed by the student, their home university and host organization, that facilitates an internship in France. It is the contract defining all the essential points of the internship: duration, missions, remuneration and benefits, insurance in the event of an accident, etc.
It is preferable that Arm's own template of the agreement is used. Successful applicants will be required to provide contact details of the appropriate university representatives in order to have the agreement signed.
In Return:
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow
In addition to a competitive salary andrewardspackage, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
#LI-NB1
Accommodations at Arm
At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as 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 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.