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职位：Supplier Quality Engineer II
行业分类：Medical Equipment Manufacturing
公司规模：10K+ employees
工作地点：Arden Hills US-MN, United States
职位要求：
Required Qualifications:
BS degree in Mechanical Engineering, Materials Engineering, Chemical Engineering, Polymers Engineering, or similar technical degree with 2+ years related experience.
Ability to travel up to 10% of the time.
Preferred Qualifications:
Mechanical Engineering, Materials Engineering, Chemical Engineering, Polymers Engineering background preferred.
Experience in working with plastic/polymer, chemical or mechanical component suppliers.
Experience with manufacturing support or process development.
Experience with auditing quality systems or ISO13485, 9001, TS16949 standards.
Experience in lean and six sigma methodologies.
Experience with project management.
职位：LTD Intel Mask Operations Module Development Engineer
行业分类：Semiconductors,Computer hardware,Autonomous cars,Automation,Artificial intelligence
公司规模：131,900
工作地点：Santa Clara, California, United States
职位要求：
Minimum Qualifications:
PhD in chemical, mechanical, materials engineering, physics, chemistry or related STEM Engineering.
Preferred Qualifications:
Demonstrated working knowledge of photomask manufacturing and process technology.
Demonstrated knowledge of design of experiments, process control methodology, data analysis skills in data analysis tools such as JMP, SQL, etc.
Cleanroom experience
Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools.
+2 years of experience in Semiconductor fabrication or nanotechnology.
【Advanced Micro Devices (AMD)】
行业分类：Semiconductors
公司规模：15,500人
KEY QUALIFICATIONS:
C/C++, Verilog HDL, Python, P4, ML frameworks, /C++, Java, MATLAB, Go.
Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning) are welcome.
PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS:
FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
Distributed systems, data center networking, high performance computing, and distributed machine learning training.
ML frameworks such as PyTorch and/or TensorFlow.
WHO WE’RE LOOKING FOR:
Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of data.
Strong problem-solving skills and attention to detail.
Ability to work well independently and in a team environment.
Strong passion for technology and research.
Currently enrolled in an accredited US University, master’s degree program.
Studying Computer Engineering, Electrical Engineering or Computer Science.
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