AI/Generative design Developer

# AI/Generative design DeveloperAugrade · San Francisco, United States## DetailsEmployer: AugradeLocation: San Francisco, United StatesWork type: In personPosted by employer: 29 Sep 2026Added here: 29 Sep 2026Listing last seen: 1 Oct 2026Skills / tags: Generative DesignApply: Apply on employer site## AboutAugrade is on a mission to enable Humans to build infrastructure on Earth & Beyond. Augmenting human capabilities & civilization by empowering the technical & non-technical users to design, predict costs & schedules of construction projects.You will be working directly on all our GNN efforts such as building architectures & modules, working on graph structures extensively to identify, represent & modify various elements, properties, hierarchies etc. You will be a part of the core GNN team & working closely with other teams to Augment Human Capabilities. If you resonate with the mission & are passionate about solving the hard problems relentlessly, aren’t afraid to try the bold ideas & fail (most of the times), this is the perfect role.What you’ll do (li indent=0 align=left)Develop and apply advanced graph neural network models to identify, verify & modify complex structural assemblies and component representations of detailed 3D models including but not limited to apartments, data center, hospitals & manufacturing sites.(li indent=0 align=left)Develop GNNs for identification, hierarchical representation, modification and verification of 3D model meshes, topology etc.(li indent=0 align=left)Understand and improve the effect of computational graph representation on the model execution, performance on different platforms, GPU, CPU etc.(li indent=0 align=left)Experiment & apply strategies for continuous learning in the context of 3D data, enabling AI systems to adapt and improve over time(li indent=0 align=left)Research and experiment with emerging technologies and tools in the graph and AI domains, ensuring Augrade’s solution stays ahead of the curve About you (Qualifications etc) (li indent=0 align=left)7+ yrs experience OR some really cool (technically) projects.(li indent=0 align=left)Strong expertise in GNN frameworks and architectures.(li indent=0 align=left)Experience with RL (Reinforcement learning)(li indent=0 align=left)Strong understanding of 3D environments.(li indent=0 align=left)Strong skills in data & database management.(li indent=0 align=left)Experience with knowledge graph stores such as Neo4j (or its equivalent TigerGraph, Neptune, etc), and surrounding semantic technology (OWL, RDF, SWRL, SPARQL, JSON-LD) is a significant plus(li indent=0 align=left)Ability to work comfortably with computations graphs and IRs (compiler background a strong bonus)(li indent=0 align=left)Deep understanding of modern vector/embedding-based graph representation techniques with proven experience in designing and implementing algorithms for their generation(li indent=0 align=left)Enjoy collaborating within and across teams(li indent=0 align=left)Fast learner. Good to have (li indent=0 align=left)Experience with LLMs, convex optimization, and physics-based simulation.(li indent=0 align=left)Robust knowledge and experience in implementing graph analytics solutions in distributed systems, including community detection/understanding, pattern matching, sub-graph extraction, and importance ranking(li indent=0 align=left)Experience in Architecture, Aerospace, or Automotive industries Benefits (li indent=0 align=left)Competitive compensation & ESOPs(li indent=0 align=left)Generous PTO / sick leave(li indent=0 align=left)Visa sponsorship (For select few candidates)(li indent=0 align=left)And more as the team grows
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