Engineers

Micron Technology is a world leader in innovative memory solutions that transform how the world uses information. Our company has been instrumental to the world’s most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications. Having worked in the semiconductor industry for over 30 years, I have witnessed how the industry constantly evolves. While we see the memory and storage industry growing exponentially with all the demand for data, our need for highly skilled talents grows at an accelerated rate too.

The way engineers approach engineering challenges has changed. Looking back a decade ago, Problem Solving skills were more focused on the diagnostic journey where engineers focus on data collection and analysis to make data “digestible”. Fast forward to today, with greater systems integration, artificial intelligence (AI) and automation, data is made much more available. The remedy journey on how to draw insights and recommend solutions using Data Storytelling and Visualisation has become more important for engineers.

Other than problem-solving, engineers need to have Critical Thinking, Transdisciplinary Thinking and effective Communication skills, which are Critical Core Skills essential for them to thrive at work. Engineers also need to have a growth-oriented mindset and continue to acquire skills to stay relevant and competitive. Regardless of job roles and scopes, employees need to develop T-shaped skills which include deep technical skill sets, complemented by experience, transferable skills, and an enthusiasm to learn and collaborate with others.

Inevitably, the advancement of technology will lead to changes in how we work as machine learning and AI used become more advanced. While some might express concern that technology, such as AI will replace most of the roles in the near future and eventually make humans redundant, I strongly believe that utilisation of AI amplifies the human potential and creates opportunities that we previously could not achieve. Micron is a great example of where AI empowers individuals. Tapping on big data and even machine learning, for example, generative AI, engineers can now do less manual and repetitive tasks, focus more on creative solutions and complex decision-making. We are embedding these skills as part of what we call the “citizen data scientist model” to train our engineers with these new AI skills.

Last but not least, inclusion is the foundation of a thriving workplace, leading us to innovation. According to McKinsey research, diverse and inclusive companies are 35% more likely to be better performing. It is crucial to exemplify the collective effort to nurture talents and uplift the community with diverse semiconductor and engineering industry opportunities