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CPU Data DevOps Engineer

Arm

Antibes

Sur place

EUR 45 000 - 85 000

Plein temps

Il y a 30+ jours

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Résumé du poste

A forward-thinking company is seeking a passionate individual to join their innovative team in Antibes. This role offers the opportunity to work at the cutting edge of technology, focusing on power analysis and improvement across various product generations. You will be part of a global team dedicated to enhancing hardware development through efficient data management and analysis. If you are eager to tackle technical challenges and thrive in a vibrant, inclusive environment, this position will provide you with the chance to grow your expertise while making significant contributions to the field of processor technology. Join us in shaping the future of technology!

Prestations

Vital training programs
Inclusive workplace
Opportunity for professional growth

Qualifications

  • Bachelor's, Master's, or PhD in relevant fields required.
  • Proficiency in Python and C++ programming languages.

Responsabilités

  • Set up and improve infrastructure for power data collection.
  • Ensure scalability and computational efficiency of infrastructure.

Connaissances

Software Programming
Data Management
Data Analysis
Python
C++
Big Data Management
ETL Optimization
Interpersonal Skills
Problem-Solving

Formation

Bachelors in Computer Science
Masters in Computer Science
PhD in Computer Science
Degree in Electronic Engineering
Degree in Electrical Engineering

Description du poste

Job Overview:

Are you creative, innovative and passionate about new technologies? Would you like to work in a multi-site and multi-cultural environment?

This job is located in Arm Sophia Antipolis design center based in one of the most appealing parts of France, at the heart of Europe’s largest and most dynamic technology park, surrounded by mountains and the Mediterranean Sea.

From there, and if you accept the challenge, you will be part of an Arm global power team distributed through multiple countries that support all future generations of processors aiming to appear in the most desirable products over the next years.

Job Purpose:

Power analysis and improvement is a key activity in our product development. We address that to a large-scale from architecture, hardware design to software development. To enable efficient hardware development, architecture and micro architecture choices we need to evaluate power as quickly and accurately as possible.

Key Accountabilities/Responsibilities:

  • Setup, maintain and improve an infrastructure to massively collect and analyse power data on next generation CPUs.
  • Ensure such infrastructure can scale across data size, number of products and versions while remaining computationally efficient.

Required Skills and Experience:

  • Hold a Bachelors, Masters or PhD in Computer Science, Mathematics, Electronic / Electrical Engineering from University or Engineering School. Candidates with alternative degrees will also be considered if they have relevant experience.
  • Emerging professional with previous work in software and data management and analysis.
  • Proficiency in software programming and scripting languages (Python, C++).
  • Experience with big data management and ETL optimisation.
  • Strong interpersonal skills, with an ability to work well as part of a team and a willingness to address varied technical challenges.

“Nice To Have” Skills and Experience:

  • Data mining and modeling.
  • Knowledge and/or experience in RTL (Verilog or VHDL).
  • Knowledge of CPU architecture and micro-architecture concepts.
  • Problem-solving approach.

In Return:

In return all Arm employees are provided with vital training to succeed in their respective roles. We believe great ideas come from a vibrant and inclusive workplace where everyone can grow, succeed, and share their outstanding contributions. In this role you will be working with extraordinary engineering teams spanning multiple fields, providing a great opportunity for expanding your expertise while also delivering measurable improvements to verification efficiency.

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