We are building a small research and engineering organization.
AETHR is intentionally concentrated. We do not maintain large recruitment programmes or inflated headcount. We value mathematical rigor, deep systems literacy, and a commitment to working on difficult physical-world problems.
Fields of interest
If you have demonstrated deep technical contributions or original research in any of these disciplines, we welcome exceptional inbound communication.
Machine Learning Research
Investigating attention stabilization, optimizer dynamics, representation rank across layers, and bounded reasoning architectures.
Model Architecture & Optimization
Developing novel Transformer decoder variations, parallel residual structures, normalization mechanisms, and update-space orthogonalization.
Distributed Training & Infrastructure
Building reliable multi-GPU training pipelines, custom PyTorch kernels, checkpoint integrity validators, and low-latency inference systems.
Systems Engineering & Telemetry
Interfacing foundation models with industrial SCADA systems, physical equipment graphs, noisy time-series telemetry, and sensor assays.
Industrial AI & Physics-Informed Reasoning
Connecting language and reasoning models with mass and energy balances, thermodynamic solvers, and deterministic engineering tools.
Scientific Computing & Simulation
Integrating chemical speciation, fluid dynamics, membrane filtration models, and historical plant replay systems.
Exceptional inbound applications.
While we have no open generic listings, we always read substantive correspondence from researchers, engineers, and scientists whose work directly aligns with our architecture or industrial missions.