Software Developer, Software Engineer, Full Stack Developer

About The Role

As a Software Engineer, you will bridge the gap between advanced computational design, software engineering, and artificial intelligence to support the future of branded automotive experiences. Working within our Industrial and Computational Design team, you will play a key role in translating complex design logic into scalable, user‑friendly products that empower our global designers to deliver cohesive, high-performance solutions. Leveraging your specialized expertise, you will independently build the digital infrastructure for design workflows, acting as a technical specialist who translates creative intent into functional, production‑ready code.

In this role, you will execute the productization of our computational design assets, turning parametric prototypes into production‑ready tools, including plugins, packaged workflows, and web‑based interactive experiences. You will support the maintenance of our centralized creative library, ensuring our team has seamless access to the latest tools and on‑brand AI models. Your work will contribute to immersive automotive experiences by scaling brand‑consistent design generation, improving industrial design workflows, and enabling interactive models—helping our teams deliver cohesive, high‑quality in‑cabin touchpoints with speed and precision.

• Productize Computational Workflows:
  Independently transition internal computational design prototypes into professional‑grade, version‑controlled tools (plugins, packages, and shared libraries) that are stable and documented.
• Build Web‑Based Design Tools:
  Build and maintain web applications that expose parametric and data‑driven design capabilities through intuitive interfaces.
• Enable Remote/Cloud Computation:
  Develop services and APIs that run geometry and design logic reliably, connecting backend computation to modern web front ends.
• Develop Interactive 3D Design Models:
  Create lightweight, high‑performance interactive 3D visualizations in the browser to communicate design intent.
• Implement AI Generative Models:
  Deploy and fine‑tune custom AI models specifically for branded experience designs and industrial design aesthetics.
• Optimize Workflow & Automation:
  Identify bottlenecks in the design process and implement automated solutions and centralized plugins across active projects.
• Manage Creative Assets:
  Support the "single source of truth" library for scripts, plugins, and AI assets, ensuring consistency in branded design outputs.
• Collaborate Across Disciplines:
  Partner with Industrial Designers, UI/UX Designers, and Engineers to ensure tech‑driven solutions remain grounded in human‑centric design.
• Communicate & Demo:
  Present technical systems through intuitive interfaces and models, making computational design accessible to internal stakeholders.
• Stay Informed:
  Research and integrate emerging technologies in WebGL, Machine Learning, and Cloud‑based computation to keep our design toolkit current.

• Educational Background: A degree in Computer Science, Computational Design (with a creative focus), Architecture, or Industrial Design with a heavy emphasis on software development.
• Strong Software Engineering Fundamentals: 5+ years of experience building and shipping applications or internal platforms with an emphasis on reliability and maintainability.
• Web Application Development:
  Proficiency with modern languages (e.g., JavaScript/Type Script and/or Python), including experience across front‑end and back‑end layers.
• Parametric/Computational Design Exposure:
  Hands‑on experience with computational geometry or parametric tool chains (e.g., Grasshopper/Rhino Common API or equivalent) or demonstrated ability to ramp quickly.
• Deployment &
  
  Collaboration:
  
  Knowledge of cloud/service deployment (CI/CD, containers) and ability to partner with platform teams to ship web applications.
• Tooling Mindset:
  Proven track record turning prototypes into production‑ready tools (packaging, documentation, and versioning).
• AI/ML
  
  Competency:
  
  Practical experience in training or fine‑tuning generative models (Stable Diffusion, LoRA, or similar).
• Brand Sensibility: A sophisticated eye for design, ensuring that…