Staff Engineer - AI Platform Engineer

CUPERTINO, CA SYSTEMS ENGINEERING FULL-TIME

Mojo Vision is pioneering a highly flexible, wafers-in, wafers-out micro-LED platform to unlock AI applications in multiple market segments. Built over nine years by our skilled 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 we are building breakthrough micro-display and next-generation optical interconnect products.

At Mojo, our team includes talented professionals with expertise in product design, user experience, applied physics, hardware, software, optics, photonics, electronics, chemistry, and vision science.

We are a startup founded by technology experts with decades of experience developing pioneering products and platforms backed by some of the world's leading technology investors in Cupertino, CA.

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.

Platform Architecture

  • Define and execute the technical architecture and roadmap for Mojo Studio.
  • Transform project-specific code into reusable platform capabilities.
  • Build scalable APIs, services, schemas, and workflow orchestration systems.

AI-Powered Engineering Workflows

  • Develop agent-based workflows for connecting layout, electrical behavior, optical performance, and thermal response.
  • Build structured tools for geometry operations, constraint checking, and engineering analysis. Ensure AI-assisted workflows remain grounded in real design state, engineering knowledge, and deterministic validation.
  • Unify electrical, optical, thermal, statistical, GDS/EDA, and CAD workflows.

Engineering Systems Integration

  • Connect layout, simulation, electrical, optical, and thermal workflows.
  • Build support for hierarchical GDS/OAS and other engineering design formats.
  • Improve performance for large-scale simulations and optimization workloads.
  • Encode process rules and engineering knowledge as traceable sources of truth.
  • Improve performance for large layouts, coupled simulations, parameter sweeps, and optimization loops.
  • Partner with domain engineers to turn expert practices into scalable software.

Required Skills

  • BS, MS, or PhD in Electrical Engineering, Optical Engineering, Physics, Mechanical Engineering, Computer Engineering, or a related field.8+ years of relevant software engineering experience, including significant experience with computational engineering, scientific software, EDA, CAD, or multi physics simulation platforms.
  • Expert level Python and software architecture expertise.
  • A record of turning prototypes or one-off scripts into reusable platforms or internal products.
  • Strong API, schema, and data-model design skills.
  • Experience building AI-assisted tools using agents, structured tool calling, retrieval, or evaluation loops.
  • Familiarity with computational geometry or CAD-like systems.
  • A rigorous approach to correctness, traceability, reproducibility, and failure handling.
  • Ability to collaborate across software and engineering disciplines.
  • Clear technical writing, including documentation, design decisions, and actionable error messages.
  • Experience in photonics, semiconductors, EDA, CAD, or computational engineering is valuable, but we welcome candidates from adjacent technical domains who have built complex engineering or scientific software platforms.

Preferred Skills

  • Photonics, micro-LEDs, optical interconnects, advanced packaging, or PDN experience.
  • GDS/OAS, KLayout, Virtuoso, CAD/STEP, or similar design tools.
  • Constraint-driven design automation and optimization.
  • Electrical, optical, thermal, statistical simulation, or large-scale parameter sweeps.
  • Engineering copilots, agent frameworks, or artifact tracking systems.

Level: Staff Engineer Salary Range: $141,000 - $161,000 - $211,000

To apply, please submit your resume to careers@mojo.vision

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