Research Engineer for a Swiss Construction Technology Spin-Off (f/m/d) (80-100 %), Aarau, CH (hybrid, remote-friendly)

Building Information Technology AG

Want to realize a quantum leap in building technology design and help make construction fun again?

At Planlabs, we are a small and diverse team working in Switzerland and Ukraine on the future of construction technology. We build a cloud-native platform for qualified decision making and automated 3D planning of sustainable building technology systems for the AEC industry.

Planlabs is a tech spin-off company of the HHM group in stealth mode. With over 200 qualified employees at locations in AG, ZG, ZH, SG, BE, BS, HHM has been known for 70 years for high-quality engineering in building technology.

Together with renowned partners we have demonstrated the disruptive potential of generative design for MEP (Mechanical, Electrical and Plumbing) planning – enabling a new level of speed and efficiency in various stages of the planning process. Now we are on the road to developing this outstanding technology into a SaaS spin-off. Join us in our mission to disrupt MEP planning and create value for planners and builders. We are looking for a passionate, pragmatic, and hands-on individual to complement and grow our diverse team of committed experts.

Tasks

As part of the early spin-off team your mission will be to work on very novel technologies, to create the necessary algorithms to disrupt the building technology planning industry.

  • Design, develop and test new algorithms within our generative design engine on topics such as graphs, routing and packing problems.
  • Perform applied research for new and experimental areas (reinforcement learning, evolutionary algorithms, iterative solvers, a.o.).
  • Analyze and improve performance and efficiency of existing code base and algorithms.
  • Collaborate with scientific experts, actively shape your scientific network, and stay up to date on the current state-of-the-art of the relevant technologies.
  • Collaboration with the full stack software development team.

Requirements

  • Master’s degree in Computer Science, Mathematics, Physics, Electrotechnical Engineering, Robotics or other related fields.
  • Expertise with optimization techniques, computational geometry, graph theory basics, iterative solvers, data analysis, machine learning, deep learning, reinforcement learning, 3D geometry data structures and development.
  • At least 3 years of commercial experience within the tech-industry (either as researcher or as developer) active in the above-mentioned technologies.
  • Coding skills: Proficiency in Python, Tensor Flow / Pytorch / Keras, experience with CI/CD, packaging and releasing of new versions.
  • English as primary communication language.
  • Passion for generating cutting-edge results in unexplored research fields and bringing them into a performant commercial application.
  • Ready to work in an agile start-up environment with short communication paths, result driven culture without standard processes and ready to implement what’s missing.

Nice to have:

  • PhD in one of the abovementioned areas
  • Experience with C++
  • Experience in C# or .NET
  • Experience in CGAL or LibIGL
  • Experience with StableBaseline3, AI development and MLOps
  • German is a plus

Entire company tech stack

Important tech stack:

  • Phyton / C++
  • MySQL / Rest-APIs
  • AWS/Azure
  • GitHub

Other team’s tech stack:

  • Autodesk Revit / C#
  • React / JavaScript / PhP / Laravel

Benefits

  • A unique, entrepreneurial opportunity to co-create a game-changing tech business.
  • Autonomy to build & scale the product as you best see fit.
  • A remote-friendly work environment with flexible working hours and modern office space in Aarau.
  • Market remuneration, as well as the possibility for an ESOP plan.
  • Passionate, diverse team with flat hierarchy and fast decision-making.

We are committed to building a diverse culture and are eager to receive applications from all backgrounds. We are curiously looking forward to learning about you!

To apply for this job please visit join.com.


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