Computational Designer & Software EngineerLocation: Bengaluru, India
About the Slate
At Slate Technologies we are bringing fresh ideas and technology-driven tools to the construction industry, leveraging AI, data science and machine learning to help our customers build better.
Our team brings together the collective talent of some of the world’s leading software designers, engineers, and career construction professionals together with advanced technologies to solve the big problems that face the construction industry. The Slate platform uses advanced AI, including predictive, generative and agentic models, to connect and contextualize data, providing a dynamic decision assistant and process automations that improve efficiency and lower costs over the construction process from land acquisition, design and pre-construction to project management and controls.
Slate India is a fully owned subsidiary of Slate Technologies Inc, aiming to be the Technology hub in the AEC space, from 3D digital twins, building design to logistics to collaboration tools. The team based out of Bangalore works on cutting edge technologies leveraging Generative AI, BIM, big data, analytics and sophisticated real time technologies to empower path breaking solutions in this space.
Position Summary
Join Slate as a Computational Designer and Software Developer, where you’ll be at the forefront of creating innovative, real-world solutions in Architecture, Engineering, and Construction. Collaborate with a global team of designers, developers, engineers, and industry experts to develop cloud-based computational solutions using Grasshopper and Rhino.Compute. As a vital member of our computational design team, you will:
- Collaborate with teammates to build modular, scalable solutions
- Utilize your creativity and expertise in visual scripting to deliver high-quality outputs
- Adhere to pre-existing guidelines while seizing opportunities to enhance and grow our platform
If you have a vision and passion for deploying computational design solutions to users of varying skill levels, we’d love to hear from you!
Role / You are:
- A Computational Designer dedicated to precision, quality, and creativity
- Experienced or passionate about the built environment, including Architecture, Engineering, and Construction
- Capable of collaborating with other Computational Design experts on diverse project types and scopes
- Knowledgeable in connecting front-end and back-end solutions using Grasshopper and Rhino.Compute.
- Able to clearly communicate and articulate complex scripting solutions and needs to non-experts
Responsibilities:
- Work within the existing framework of Slate’s Generate platform for computational design, while exploring potential enhancements
- Consistently deliver high-quality Grasshopper solutions that are organized and tailored to client-specific outputs
- Develop custom API solutions for interoperability between multiple software platforms (e.g., Revit, AutoCAD, Excel, Word, and more)
- Create custom nodes in Python and C#, transforming them into custom plugins, hops, etc. Handle client data that may be sensitive or confidential with utmost care
- Collaborate directly with leaders of the computational design and engineering teams to assist in executing full-stack software solutions
- Push the boundaries of what’s possible with your creativity and unique perspectives
Desired Experience
A minimum of 10 years of experience using Rhino and Grasshopper to develop custom software solutions for industry.
Desired Profile of the Candidate
- Experience in AEC Industries: Understanding or experience working in Architecture, Engineering, and Construction
- Self-Motivated Learner: A fast-paced, self-learning individual who thrives in dynamic environments
- Team-Oriented: Willingness to develop and learn alongside a pre-existing team and solutions
- Collaborative: A highly collaborative team player who excels in cooperative settings
- Organized and Responsive: Highly organized with a strong sense of responsiveness
- Detail-Oriented: Attention to detail and commitment to quality
- Strong Communication Skills: Excellent verbal, written, and graphic communication skills Industry Advocate: Acts as a champion for computational design and industry excellence
Qualitative Skills - Must Haves:
- Proficient in Computational Design using Grasshopper
- Expertise in Generative Design and Parametric Modeling
- Ability to create Complex Geometry
- Skills in Rendering and Visualizations.
- Strong understanding of Data Structures and Manipulations
- Python expertise
- C# expertise, particularly with RhinoCommon
- Familiarity with the Grasshopper SDK
- Experience with Visual Studio Code or similar development environments
- A portfolio showcasing contributions to the physical world through computational design
Qualitative Skills - Nice-To-Haves:
- Experience with Artificial Intelligence and Machine Learning
- Front-end and back-end software development experience
- Expertise in Rhino, Inside, Revit, Dynamo, Figma, Revit, AutoCAD, Inventor, Fusion, and/or other AEC industry tools
- Knowledge of three.js and/or ReactJS
- Experience in Digital Fabrication/Manufacturing
- Experience in Design for Manufacturing and Assembly
- Passion for developing robust software and writing maintainable code
- Proven ability to work in a fast paced, highly responsive agile team with rapidly evolving requirements and architectures
- Excellent verbal and written communication skills
Qualification
Bachelor's or Master's in Computer Science or related fields
Perks and Benefits
At Slate, we invest in our employees and provide a full range of benefits and perks to help you grow and thrive. From generous paid time off and healthcare coverage to career enrichment and development strategies.
Top Skills
What We Do
Better decisions happen in construction when you have better context, without context stakeholders are unable to see the right information, at the right time to make confident and quick choices. That's why we created Slate, a Virtual Digital Assistant that helps you identify and evaluate information in your business so that you can make better decisions, save time and money and improve project outcomes.
Our mission at Slate is to help improve each construction professional impact construction productivity by revealing the timely context that helps them make earlier, better decisions. Slate’s “Digital Assistant'' uses machine learning and AI to execute multi-dimensional analysis across internal and external data sources. This includes public data such as weather, labor and traffic with the dark data locked in silos and non-integrated systems within their own and sub-contractor organizations.