Company Description
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.
Role Description
This is a full-time internship for a Physical AI Engineer in a hybrid format, based in the Greater Delhi Area. As an intern, you won't just be training models in a vacuum; you will be responsible for bringing "brains" to "bodies." You will design, develop, and test AI algorithms that interact with the physical world.
Your work will involve closing the loop between perception and action, solving challenges like low-latency inference on the edge, sensor fusion, and real-world robustness. Collaboration with cross-functional teams to implement state-of-the-art solutions—from simulation to hardware—will be a key part of your role.
Key Responsibilities
- Model Development:
Build, train, and fine-tune neural networks for tasks such as spatial awareness, object manipulation, and trajectory prediction.
- Edge Deployment:
Optimize AI models for real-time performance on edge computing hardware (e.g., NVIDIA Jetson, Coral).
- Sim-to-Real:
Work with simulation environments (Isaac Sim, Gazebo, or PyBullet) to train agents before deploying them to physical hardware.
- Data Pipeline Engineering:
Help curate and preprocess multimodal datasets (Video, LiDAR, IMU, etc.) for physical task learning.
Qualifications
Preferred (Bonus) Skills
- Experience with multimodal LLMs.
- Knowledge of NVIDIA Isaac Lab or specialized robotics simulation tools.
- Previous experience with 3D computer vision (Point clouds, NeRFs, or Gaussian Splatting).
- Contribution to open-source AI or robotics projects.
What We Offer
- Real-World Impact:
Your code won't just live in a cloud; it will drive physical systems.
- Mentorship:
Work directly with experts in Generative AI and System Design.
- Hybrid Flexibility:
A balance of hands-on lab work in the Greater Delhi Area and remote deep-work sessions.
- Cutting-Edge Stack:
Access to the latest in compute and robotic hardware.
