An exceptionally talented AI Research Scientist required to work at the intersection of Deep Reinforcement Learning, Edge AI, and real-time intelligent systems. This is an opportunity to design algorithms that operate directly in high-stakes, real-world environments, not just in simulation.
You’ll lead research in advanced Deep RL methods to build agents capable of decision-making, tracking, and adaptive navigation in dynamic settings. Your work will span 2D/3D perception, state estimation, and model-based reasoning, with the chance to bring new methodologies into production.
A core part of the role is Edge AI optimization. You’ll deploy models on NVIDIA IGX and Jetson platforms, using TensorRT, CUDA, and C++ to achieve real-time performance under tight latency constraints. If you’re passionate about reducing inference times, optimizing memory footprints, and pushing models to the edge, you’ll thrive here.
We’re looking for candidates with strong foundations in deep learning, PyTorch or TensorFlow, GPU programming, and fast prototyping. Experience in 3D computer vision, medical imaging, or robotics is a major advantage.
This is a role for researchers who enjoy building cutting-edge models, and seeing them used in complex physical systems.
If pushing Deep RL beyond the lab excites you, we’d love to connect.
