ICON is looking for a Senior Robotics Software Engineer to join our Software team in Austin, TX. As a Senior Robotics Software Engineer, you will help develop and maintain robotic control software for all of ICON’s robotic systems. You will be responsible for developing high-performance C++ software to drive complex arm motions, integrating real-time sensor data, and ensuring reliable motion planning. This role is based at ICON’s Austin, TX headquarters, and will report to the Director of Embedded Software Engineering.

RESPONSIBILITIES

• Design, develop, and optimize high-performance C++ software for controlling and coordinating large-scale robotic arms.
• Develop robust motion planning and trajectory generation algorithms to safely navigate industrial arms through complex workspaces.
• Implement real-time sensor fusion and state estimation algorithms (using sensors like IMUs, LiDAR, etc.) to improve arm localization and end-effector precision.
• Program robotic arm motions in coordination with other systems.
• Develop and maintain simulated environments and automated test frameworks to support continuous integration and system verification.
• Lead system integration and validation efforts across hardware and software.
• Participate in architecture decisions for controls and electrical systems, including component selection and standardization.
• Participate in design & code reviews to maintain consistency and high-quality output.

MINIMUM QUALIFICATIONS

• Masters Degree or higher in Software Engineering, Robotics, Mechanical Engineering, or a related field.
• 5+ years of professional experience in robotics software development.
• Expert-level proficiency in modern C++ (17 or newer) and Python within a professional robotics software development environment.
• Deep foundational understanding of robotic arm kinematics (forward and inverse), multi-body dynamics, and motion planning.
• Hands-on experience with robotic platforms, sensors, actuators, localization, perception, and control systems.
• Practical experience designing and optimizing sensor fusion and state estimation algorithms (e.g., Kalman Filters).
• Strong knowledge of autonomy algorithms, robotics frameworks (such as ROS), and simulation environments.

PREFERRED QUALIFICATIONS

• Experience programming industrial robots in high-level languages.
• Experience in formal control theory and linear algebra.
• A general understanding of how to manage redundant kinematic chains or stabilize dynamic systems.
• Proven track record of delivering products to end users and production environments.
• Familiarity with hardware design, prototyping, and manufacturing processes.
• Excellent problem-solving skills and a strong analytical mindset to identify issues, propose innovative solutions, and make data-driven decisions.
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of performance.

This role is onsite, based at ICON’s Austin, TX location.

RESPONSIBILITIES:

• Lead implementation of key front-end software technologies in the BuildOS product, a digital construction software platform being developed from the ground up.
• Serve as a trusted expert in the technical aspects of business-critical problem areas.
• Serve as a trusted expert in industry trends, technologies, and best practices. Implement these technical solutions and practices in the organization as needed.
• Design, develop, test, and deploy reusable web-based components and libraries for use throughout a suite of applications within the BuildOS platform.
• Work with UX designers to enhance the Design System and implement new workflows for the BuildOS platform.
• Grow the technical competencies of the entire organization through education and mentorship.
• Work with application and backend engineers to manage relationships between authored model data, backend data, and rendering.

MINIMUM QUALIFICATIONS:

• 10+ years of professional experience in software engineering.
• 5+ years of experience shipping production software and leading software projects”
• BS in Computer Science, related field, or equivalent experience.
• Experience developing web-based front end applications.
• Node.js and TypeScript experience.

PREFERRED SKILLS AND EXPERIENCE:

• React, Redux, and RxJs experience.
• Experience as a technical leader at a startup.
• Experience working with a Component library.
• Experience working with a UX Design System
• PostgreSQL, GraphQL, DynamoDB experience.
• Experience working with REST APIs.
• Flutter, React Native, or Android experience.
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.

ICON is looking for an experienced, open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer II focusing on Computational Geometry & BIM at ICON, you will be responsible for developing and architecting the pre-print, computational geometry software platform for ICON's construction printing systems. This role is based on site at our Austin, TX HQ Campus and will report to our Director of Software Engineering.

RESPONSIBILITIES:

• Lead the design and implementation of new features and products to support our BuildOS design platform
• Architect and develop cutting-edge geometric algorithms that unlock the potential of ICON 3D printing technology
• Build and maintain internal tools to help visualize, instrument and debug the 3D printing process
• Partner with Architects, Structural Engineers and Building Scientists to convert architectural plans to highly efficient and structurally sound path-planning algorithms
• Work closely with R&D engineers to perfect print quality across ICON's lineup of devices and materials
• Create robust software integrations with 3rd party CAD and CAM software
• Design and develop BIM automation tooling to streamline architectural workflows and extract design intelligence from building models
• Lead exploration and prototyping of AI-driven design approaches for generative design, design optimization, and intelligent automation of construction planning
• Build systems that bridge architectural intent with manufacturing constraints through computational design
• Drive technical standards and best practices for computational geometry systems

MINIMUM QUALIFICATIONS:

• 8+ years of professional experience as a software engineer with demonstrated technical leadership
• BS in Computer Science or equivalent experience
• Proven ability to work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables
• Strong experience building platforms, micro-services, and APIs at scale
• Track record of architecting complex systems and making sound technical decisions
• A willingness to accept failure, learn and try again, and an open mind to try solutions that may seem impossible at first
• Excellent ability to communicate clearly and succinctly both in-person and via written asynchronous channels
• Experience mentoring other engineers and contributing to team growth

PREFERRED SKILLS AND EXPERIENCE:

• Advanced degree in Computer Science
• A passion for learning new disciplines and gaining a deep understanding of how other professionals do their work
• Strong Node.js and TypeScript experience, with a functional programming approach
• Deep mathematical background in geometry, linear algebra, numerical analysis and advanced 3D mathematics
• Strong intuition for physical systems and principles of stability
• Extensive experience with tools and services that leverage three-dimensional trigonometry to calculate and analyze shapes and tool paths
• Hands-on experience with BIM platforms (Revit, Rhino, Grasshopper) and their APIs for automation
• Familiarity with AI/ML frameworks and applications in design, generative modeling, or optimization problems
• Experience in computational design, algorithmic architecture, or design automation
• React, Redux, and RxJs experience
• Proven experience interfacing with CAD and CAM software APIs
• Experience with parametric modeling frameworks and computational design tools
• Strong interest in the principles of parametric architecture
• PostgreSQL, GraphQL experience
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.
• Experience with geometric kernel libraries (CGAL, Open CASCADE, etc.)

ICON is looking for an open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer at ICON, you will be responsible for developing visualization and planning tools to streamline the residential construction process. This role reports to the Director of Software Engineering and is based in our Austin, TX campus.

RESPONSIBILITIES

• Lead implementation of key software technologies in the BuildAI platform, a digital construction software platform being developed from the ground up.
• Serve as a trusted expert in the technical aspects of business-critical problem areas.
• Serve as a trusted expert in industry trends, technologies, and best practices. Implement these technical solutions and practices in the organization as needed.
• Design, develop, test, and deploy reusable web-based components, libraries and APIs for use throughout a suite of applications within the BuildOS platform.
• Work with UX designers to enhance the Design System and implement new workflows for the BuildOS platform.
• Grow the technical competencies of the entire organization through education and mentorship.
• Work with application and backend engineers to manage relationships between authored model data, backend data, and rendering.

 MINIMUM QUALIFICATIONS

• 8+ years of professional experience in software engineering.
• 5+ years of experience as a technical leader across entire engineering organizations.
• BS in Computer Science, related field, or equivalent experience.
• Experience developing web-based front end applications.
• Experience developing REST APIs.
• Node.js and TypeScript experience.

PREFERRED SKILLS AND EXPERIENCE

• React, Redux, and RxJs experience.
• Experience as a technical leader at a startup.
• Experience working with a Component library.
• AWS Lambda and Serverless experience.
• AWS Cloud development kit experience.
• PostgreSQL, GraphQL experience.
• Experience working with Docker.
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.

ICON is looking for a Senior Software Engineer, AI/ML to join the BuildOS team. BuildOS is ICON's software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. This role reports to the Senior Director of Software, and is based in Austin, TX
 
You will have the opportunity to work with some of the world's most talented architects and engineers. You will gain hands-on experience using the latest and greatest models to solve new problems. This role is a crucial part of defining how the next generation of housing will be built. This role will contribute to applied AI projects in the building compliance and regulatory space — using NLP and document reasoning to automate how architectural designs are evaluated against building codes. This work spans both commercial and government contexts and involves real-world deployment of multi-agent AI systems against complex, domain-specific rulesets.

RESPONSIBILITIES

• Design, build, and maintain production-grade AI systems and services
• Develop and integrate LLM-powered features using RAG, prompt engineering, and multi-agent frameworks to solve real-world problems in the construction domain.
• Build tools to radically decrease the cost and time needed to design beautiful homes.
• Build tools to let home buyers visualize, explore and choose their ideal home.
• Build digital design tools that take full advantage of 3D printing's capabilities.
• Explore the use of ongoing AI research for all of ICON's activities.
• Translate business problems into deployed production solutions in the AI space.
• Write clean, well-tested, well-documented code and actively participate in design and code reviews.
• Build NLP pipelines for document understanding, information extraction, and reasoning over regulatory content.
• Stay current with advancements in AI/ML and evaluate new tools and approaches for applicability to ICON's product areas.

MINIMUM QUALIFICATIONS

• 5+ years of software engineering experience, with 3+ years building and shipping AI/ML-powered products in production environments.
• Strong software engineering fundamentals — system design, data structures, algorithms, testing, and CI/CD.
• Familiarity with popular image and text deep learning architectures.
• Hands-on experience with LLMs and modern AI patterns including RAG, function calling, and multi-agent orchestration.
• Experience designing and operating scalable backend systems and APIs.
• Bachelor's degree in computer science, computer engineering, mathematics, or equivalent technical degree and industry experience.

PREFERRED SKILLS AND EXPERIENCE:

• Advanced degree in mathematics, data science, or AI/Machine Learning.
• Contributions or experience with generative neural networks (e.g. StyleGAN, GPT3, StableDiffusion, etc.)
• Experience with the full stack of training and deploying deep learning models.
• Experience with 3D printing and/or robotics.
• Background in art or architecture.
• Proficiency in Typescript and experience with relevant libraries (e.g. LangChain.js and the various provider SDKs (OpenAI, Anthropic, etc.))
• Proficiency in Python and experience with relevant frameworks (e.g., FastAPI, LangChain, LlamaIndex, PyTorch).

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.