The Role: As an Associate Principal Software Architect, you’ll lead the design and optimisation of embedded systems for connected electronic products, defining robust BLE/Wi-Fi integration and guiding Joint Development Manufacturer (JDM) suppliers in software delivery. You’ll work
毕业时间：2026年9月 - 2027年6月之间毕业的应届毕业生 工作地点：如果你希望在深圳工作，请投递！（北京请搜索职位ID 10490151，上海 10490159） · 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。中英文对应表，请点击链接查看 https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 3 简历不限中英文。 At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. To get there, we need
The Role: The embedded software team is responsible to design and implement software that runs on the target MCU inside Dyson product under Scrum Agile Practice. The team delivers software that interprets what are the input
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.
Job Title: Lead Embedded Software Engineer The Role: As a Lead Embedded Software Engineer, you will serve as Dysons software delivery leader and primary software owner for JDM-developed software within connected electronic products. This role combines
Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning