job description
Join Micron Semiconductors, a global leader in semiconductor innovation, and take your career to the next level as a Smart Systems Engineer in our cutting-edge AI division. Based in the vibrant and dynamic location of Bali, Indonesia, you will be at the forefront of developing next-generation smart systems that power AI applications across industries.
This is a unique opportunity to work with a world-class team, leveraging advanced technologies to design, optimize, and deploy intelligent systems that redefine performance, efficiency, and scalability. Whether you're passionate about machine learning, embedded systems, or semiconductor architecture, this role offers the chance to make a tangible impact in a fast-evolving field.
At Micron, we foster a culture of innovation, collaboration, and continuous learning. You’ll have access to state-of-the-art tools, mentorship from industry experts, and the freedom to explore bold ideas that shape the future of technology.
Responsibility
- Design, develop, and optimize smart systems and AI-driven solutions for semiconductor applications.
- Collaborate with cross-functional teams to integrate machine learning models into embedded systems and hardware architectures.
- Conduct performance analysis and benchmarking to ensure system efficiency, reliability, and scalability.
- Develop and implement algorithms for real-time data processing and decision-making in smart systems.
- Stay abreast of emerging trends in AI, IoT, and semiconductor technology to drive innovation.
- Troubleshoot and debug complex system issues, providing robust and scalable solutions.
- Document technical specifications, design decisions, and best practices for knowledge sharing.
- Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement.
Qualifications
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Minimum of 5 years of experience in smart systems design, embedded systems, or semiconductor engineering.
- Strong proficiency in Python, C/C++, or Verilog for system development and modeling.
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their deployment in hardware systems.
- Familiarity with FPGA, ASIC design, or semiconductor manufacturing processes is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills to articulate complex technical concepts to stakeholders.
- Experience with cloud platforms (AWS, Azure, GCP) and edge computing is desirable.