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Mojo Vision, based in Cupertino, California, is seeking a Staff Software Engineer to lead the evolution of Mojo Studio, an AI-accelerated engineering platform for designing micro-LED optical interconnects. You will shape architecture and drive platform-scale collaborations across teams.
You will transform prototypes into reusable platform capabilities, build scalable APIs and workflows, and enable AI-assisted design processes that integrate electrical, optical, thermal, and CAD workflows.
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.
Roles and Responsibilities:
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.
AI-Powered Engineering Workflows:
Required Skills:
Preferred Skills:
Salary Range: $141,000-$161,000-$211,000