Computational Design Specialist at Ennead Architects

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

115000.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Design, AI Integration, Automation, Performance Analysis, Parametric Systems, Rhino, Grasshopper, Revit, Python, C#, Environmental Analysis, Data Management, Interoperability, Digital Standards, Tool Development, Training

Industry

Architecture and Planning

Description

ENNEAD ARCHITECTS IS AN AWARD-WINNING, INTERNATIONALLY RECOGNIZED DESIGN PRACTICE, SEEKING A COMPUTATIONAL SPECIALIST TO JOIN OUR DESIGN TECHNOLOGY TEAM. OUR WORK SPANS A WIDE RANGE OF PROJECT TYPES, SCALES, AND CONTEXTS, INCLUDING NEW CONSTRUCTION, RENOVATIONS AND EXPANSIONS, HISTORIC PRESERVATION, INTERIOR ENVIRONMENTS, AND LARGE-SCALE PLANNING EFFORTS. WE COLLABORATE CLOSELY WITH CULTURAL, EDUCATIONAL, SCIENTIFIC, AND GOVERNMENTAL INSTITUTIONS AROUND THE WORLD, DELIVERING ARCHITECTURE GROUNDED IN RESEARCH, TECHNICAL RIGOR, AND A DEEP COMMITMENT TO THE PUBLIC REALM. WE ARE SEEKING A HIGHLY SKILLED, MOTIVATED COMPUTATIONAL SPECIALIST TO ADVANCE THE FIRM’S COMPUTATIONAL DESIGN AND AI-DRIVEN WORKFLOWS. THIS ROLE SITS AT THE INTERSECTION OF DESIGN, TECHNOLOGY, AND INNOVATION, WORKING CLOSELY WITH THE DESIGN TECHNOLOGY DEPARTMENT TO DEVELOP TOOLS, STRATEGIES, AND DIGITAL STANDARDS THAT ELEVATE PRACTICE-WIDE PERFORMANCE. YOU WILL COLLABORATE WITH PROJECT TEAMS TO PROTOTYPE DESIGN TOOLS, AUTOMATE PRODUCTION TASKS, INTEGRATE AI INTO DESIGN AND DOCUMENTATION, AND SUPPORT COMPUTATIONAL STRATEGIES ACROSS GEOMETRY, BUILDING PERFORMANCE, INTEROPERABILITY, AND DATA MANAGEMENT. YOU ARE CURIOUS, RIGOROUS, AND CONTINUALLY LOOKING FOR WAYS TO TRANSLATE IDEAS INTO INTELLIGENT, EFFICIENT SYSTEMS. Responsibilities: Develop Advanced Computational Workflows • Build parametric systems across Grasshopper, Rhino, Revit, and Dynamo. • Translate design intent into data-rich, performance-aware models. Integrate AI, Automation, and Performance Analysis • Prototype AI-assisted, generative, and optimization workflows. • Develop automation pipelines and performance analysis workflows (daylight, solar, wind, glare). Build Custom Tools & Scripts • Develop custom tools and scripts using Python, C#, or similar. • Enable reliable interoperability between Rhino and Revit. • Maintain and document firmwide computational tools. Support Project Teams • Support complex geometry, façade logic, and model interoperability. • Conduct environmental studies and troubleshoot advanced digital challenges. Contribute to Standards, Research & Training • Refine computational standards and workflows. • Lead training and research emerging technologies. • Contribute to firmwide design technology culture. Core Responsibilities & Competencies: • Lead computational design and AI-driven workflows across project teams. • Develop parametric systems for massing, facades, geometry rationalization, and performance-driven design. • Integrate generative design, machine learning, diffusion models, and automation into design and documentation. • Build custom workflows across Rhino, Grasshopper, Revit, Dynamo, and scripting tools. • Enable robust BIM–geometry interoperability and façade optimization workflows. • Apply environmental, programmatic, cost, and carbon data to design decisions. • Communicate computational intent through clear diagrams and visuals. • Balance project delivery with research, standards, and mentorship. Required Experience: • Bachelor’s Degree in Architecture • 3+ years of professional architectural or design experience • 3-5s years in a Computational Designer or Specialist role • Advanced proficiency in Rhino and Grasshopper (Kangaroo, Lunchbox, Human, Ladybug Tools, etc.) • Experience integrating Rhino/Grasshopper with Revit (Rhino.Inside or similar) • Strong skills in Python and/or C# for automation and toolmaking • Proficiency with environmental analysis platforms (Ladybug Tools, Pollination, Cove, etc.) • Familiarity with AI tools used ins design, analysis, or documentation • Ability to document workflows and maintain shared tools Preferred / Plus Experience: • Experience with AI-driven design tools, MCPs, and API integrations • Visualization and rendering proficiency (Enscape, D5, or similar) • Knowledge of digital fabrication, 3D printing, and prototyping workflows The salary range for this role is $95k-$115K. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. What you’ll love about Ennead: Ennead cares about its people and the well-being of its staff. We focus on your physical and mental wellbeing in addition to your professional growth. Some of the things we offer are: * Full medical suite: Medical, Dental, Vision, Company paid Life Insurance * Invest in your future with our 401K plan. * Access to discounted perks, gym membership, dining & more! * Various health and wellness initiatives * Plus, opportunity to participate in the mentorship program. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. The firm is an equal opportunity employer and complies with applicable local, state, and federal fair employment practices laws. The firm gives equal opportunity and consideration to employees and applicants without regard to race, color, religion, national origin, citizenship status, creed, age, disability which is unrelated to the individual’s ability to perform the duties of a particular job or position, sex, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected under applicable local, state, or federal laws.

Responsibilities

The role involves developing advanced computational workflows and integrating AI into design processes. The specialist will also support project teams and contribute to the refinement of computational standards and training.