We are looking for an enthusiastic engineer, willing to work in a multicultural and diverse environment, interested in building strong relationships with various teams in multi design centers!

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You are a highly motivated electronic engineer, interested in defining methodologies and making them concrete and applying them on the ground.

You want to enable innovative chips and systems designs to shape the future of technology.

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Based in Sophia Antipolis, our design center is built to high-level environmental and wellbeing standards (LEED and WELL certified respectively).

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What could you be doing as a Methodology and Design Engineer Intern?

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As a methodology engineer working in the Chip Methodology and Automation team, your main role will consist of analysing, developing and optimising SOC development, verification and implementation flow based on EDA tools best usage.

Working in close collaboration with methodology experts, as well as design teams and EDA vendors, you will analyse parts of the SOC design, verification and implementation flow and gather end users inputs in terms of usability and features support. You will benchmark different solutions on real design cases, build demonstrators for new features and methodology, propose improvements and provide guidance and support to internal design teams in Europe and worldwide.

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We are looking for individuals who:

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• Are students in their last year of Masters (BAC+5 or equivalent) and available for a 5-month to 6-month internship
• Are studying electronic engineering, computer engineering or computer science (other degrees may also be considered based on experience)
• Demonstrate good problem solving and debugging skills
• Possess great curiosity, energy and willingness to learn
• Have strong interpersonal and teamwork skills
• Are fluent in oral and written English

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Qualities that will help your application stand out:

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• A keen curiosity about SOC, CPU, GPU and digital systems
• Unix, Scripting (Tcl, python, …) and automation
• Exposure to or knowledge of SOC, RTL design, verification, and implementation, EDA tools and main methodologies
• Knowledge of data analysis tools, data science or data engineering

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Additional Information:

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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.

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