Xolver AI is at the forefront of innovation, driving advancements at the intersection of AI, robotics, computer vision, and generative AI. Our mission is to design cutting-edge solutions that transform industries and make a meaningful impact on society. By leveraging state-of-the-art technologies, we develop groundbreaking products to redefine automation and intelligent systems, unlocking new possibilities for the future of Physical Intelligence.
Why this role matters
Build, train, and fine-tune neural networks for tasks such as spatial awareness, object manipulation, and trajectory prediction.
Optimize AI models for real-time performance on edge computing hardware (e.g., NVIDIA Jetson, Coral).
Work with simulation environments (Isaac Sim, Gazebo, or PyBullet) to train agents before deploying them to physical hardware.
Help curate and preprocess multimodal datasets (Video, LiDAR, IMU, etc.) for physical task learning.
Rapidly iterate on software-hardware integration to solve complex engineering challenges in real-world scenarios.
You have a "builder" mindset—you enjoy seeing your code move things in the real world. You have a strong physical intuition and understand how software interacts with physical constraints like latency, noise, and mechanics. You are eager to work at the intersection of cutting-edge AI and robotics.
Share your CV at hello@xolver.ai.