firmware intern

在 ABB ，我们致力于帮助各行业以更精简、更清洁的方式运营，而这离不开这里的每一个人。您将有能力领导众人、收获成长助力，并为我们共同创造的影响而感到自豪。加入我们，共同驱动世界运转的力量。

该职位隶属于

R&D Team Lead

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Your Role and Responsibilities

• Work model: Onsite
• Implement and improve firmware for instruments products
• Write design and test case documents
• Do unit test and assist test engineer to verify functionality
• Maintain existing code and improve code quality
• Support and fix issues in production
• Support system test
• Other tasks by supervisor
  
  

Qualifications For The Role

• the fourth-year of student or above, major in Computer Science, Software Engineering, Automation, Measurement and Control, or other equivalent fields
• Experiences on C/ C++ and Python language, MUST
• Experiences on firmware development is big plus.
• Driver (IIC，SPI，UART，ADC) development under RTOS system, HW knowledge is big plus
• Willing to learn new knowledge, self-motive, team sprit
  
  

What’s in it for you?

We want you to bring your full self to work—your ideas, your energy, your ambition. You’ll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day.

More about us

The Measurement & Analytics Division is among the world’s leading manufacturers and suppliers of smart instrumentation and analyzers, working at the heart of industrial digital transformation. The Measurement & Analytics Division’s portfolio consists of analyzers measuring compositions of gases and liquids; instrumentation measuring process variables such as temperature, pressure, flow, and level; force measurement solutions measuring parameters such as flatness, thickness, and tension; and advanced digital solutions for device management, device health check and predictive maintenance. The Measurement & Analytics Division serves key industries such as oil and gas, chemical, water and wastewater, power, hydrogen, batteries, as well as the marine industry. The Division enables the optimization of industrial processes by providing and analyzing data collected from sensing and smart measurement devices. Parameters such as emission levels and production inputs are measured by providing ‘before’ and ‘after’ values, enabling efficient operations and environmental sustainability through measurement.

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