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Mojo Vision, based in Cupertino, CA, is seeking a Staff Software Engineer to lead Mojo Studio, an AI-accelerated platform for designing micro-LED interconnects. You will enable engineers and AI agents to design, analyze, validate, and optimize complex systems across electrical, optical, and thermal domains.
This role suits engineers who have built platforms or scientific software, CAD/EDA tools, or AI-enabled developer products, and you will define architecture, transform code into reusable
Mojo Vision is pioneering a highly flexible, wafers-in, wafers-out micro-LED platform to unlock AI applications in multiple market segments. Built over the past decade by our world-class engineers, our system-level approach combines advanced 300mm silicon architecture with GaN-on-Silicon emitters, proprietary quantum dots, photodetectors, micro-lens arrays, and packaging to solve conventional trade-offs in size, brightness, bandwidth density, and power. Our scalable, manufacturing-ready approach enables breakthrough products such as next-generation optical interconnects and AI glasses.
At Mojo, our team includes talented professionals with expertise in hardware, software, optics, photonics, electronics, chemistry, and applied physics. We are based in Cupertino, California and are backed by some of the world’s leading technology investors.
Mojo Vision is building Mojo Studio, an AI-accelerated engineering platform for designing micro-LED optical interconnects. We have used it extensively as a co-design engineering environment and are now scaling and improving the platform to support broader, more complex engineering workflows across teams and domains.
We are looking for a Staff Software Engineer to lead and scale the evolution of this platform. You will work at the intersection of AI systems, computational engineering, simulation, geometry, and software infrastructure, enabling engineers and AI agents to collaboratively design, analyze, validate, and optimize complex systems.
This role is ideal for engineers who have built platforms, scientific computing systems, CAD/EDA tools, simulation software, or AI-enabled developer products and want to define the future of engineering workflows.