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What skills are needed to design microprocessors for augmented reality?

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Augmented reality (AR) is the technology that overlays digital information and graphics on the real world, creating immersive and interactive experiences. AR devices, such as smart glasses, headsets, and smartphones, rely on microprocessors to process the data from sensors, cameras, and networks, and to generate the images and sounds that augment the user's perception. Designing microprocessors for AR is a challenging and rewarding career that requires a combination of skills in computer hardware, software, and mathematics. In this article, we will explore what skills are needed to design microprocessors for AR and how to develop them.

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Ben Cohen

Book author on SystemVerilog Assertions, Verilog/VHDL/design & verification processes

1 Hardware fundamentals

To design microprocessors for AR, you need to understand the basic principles of computer hardware, such as logic gates, circuits, registers, memory, buses, and instruction sets. You also need to be familiar with the different types of microprocessors, such as central processing units (CPUs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs), and how they differ in architecture, performance, and functionality. Additionally, you need to know how to use hardware design tools, such as computer-aided design (CAD) software, simulation software, and testing equipment, to create and verify your microprocessor designs.

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Ben Cohen

Book author on SystemVerilog Assertions, Verilog/VHDL/design & verification processes
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Adding to Sameer More's skills list: - Understand and apply IPs needed for the new applications. - Understand the various verification approaches, such as simulation, formal verifications, emulations.

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2 Software development

To design microprocessors for AR, you also need to have some skills in software development, such as programming languages, algorithms, data structures, and debugging. You need to be able to write and optimize code that can run on your microprocessor and interact with the AR device and its components. You also need to be able to test and debug your code using software tools, such as compilers, assemblers, debuggers, and emulators. Moreover, you need to be aware of the software standards and protocols that are used in AR applications, such as OpenGL, Vulkan, OpenXR, and WebXR, and how to implement them on your microprocessor.

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3 Mathematics and physics

To design microprocessors for AR, you also need to have a solid foundation in mathematics and physics, especially in the areas of linear algebra, calculus, geometry, and optics. You need to be able to apply mathematical and physical concepts and formulas to solve problems related to AR, such as coordinate systems, transformations, projections, lighting, shading, and rendering. You also need to be able to use mathematical and physical models and simulations to analyze and optimize your microprocessor's performance, power consumption, and heat dissipation.

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4 Creativity and innovation

To design microprocessors for AR, you also need to have a creative and innovative mindset, as AR is a rapidly evolving and competitive field that requires constant improvement and adaptation. You need to be able to come up with new and original ideas for microprocessor designs that can meet the current and future demands of AR applications, such as higher resolution, faster frame rate, lower latency, and more features. You also need to be able to collaborate and communicate effectively with other engineers, developers, and designers who are involved in the AR project, and to seek feedback and criticism to refine your microprocessor designs.

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5 Learning and curiosity

To design microprocessors for AR, you also need to have a strong desire to learn and a curiosity to explore new technologies and trends in AR and microprocessor design. You need to be able to keep up with the latest developments and innovations in the field, such as new AR devices, platforms, frameworks, and applications, and to evaluate their impact and potential on your microprocessor designs. You also need to be able to learn from your own and others' experiences and mistakes, and to seek new opportunities and challenges to enhance your skills and knowledge.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Hanni B.

President at SiWave Semiconductor
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Yes you can try to pick on all of the listed skills, which may take you 20-30 years, or, alternatively, write your own generative AI model to design an AR microprocessor. Microprocessors in general have a structured architecture (e.g. pipeline, ALU, cache interfaces, etc.) that can be easily optimized based on the applications. All you need to know is the basic fundamentals of microprocessor architectures (e.g. RISC, CISC, etc.) and the workload requirements that you are optimizing your microprocessor for (e.g. number of arithmetic operations per sec, memory bandwidth, etc.). The toughest part is this needs to be done while considering the deployment environment (e.g. portable, desktop, etc.) to meet PPA restrictions.

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What skills are needed to design microprocessors for augmented reality?

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6

1 Hardware fundamentals

2 Software development

3 Mathematics and physics

4 Creativity and innovation

5 Learning and curiosity

6 Here’s what else to consider

Computer Hardware

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What skills are needed to design microprocessors for augmented reality?

1

2

3

4

5

6

1 Hardware fundamentals

2 Software development

3 Mathematics and physics

4 Creativity and innovation

5 Learning and curiosity

6 Here’s what else to consider

Computer Hardware

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