Anthony Kelly

Join a company working on the technology that allows an LLM prompt to translate into Humanoid Robot manipulation. AI Engineer - Diffusion ModelsLocation: ZurichAll of the founders hold PhDs in Robotics and Simulation with 15+ years experience working at a global technology leader, they already have a working demo and 3 humanoid robots on-site. The team has an abundance of experience in Robotics, Reinforcement learning, Dexterous Manipulation, Diffusion models and they're now searching for experts in VLM/LLMs. Requirements:Strong academic background with a PhD or Master’s in diffusion models, flow matching, or learning-based trajectory generation, including relevant project experience.Technical expertise in Python, PyTorch, and training/fine-tuning diffusion or flow matching models, with experience in deploying these for robotic systems.Practical experience with GPU-based simulation platforms (e.g., Omniverse or Genesis) and solid understanding of modern ML architectures. Robotics experience is NOT needed for this position, we need someone who understands cutting edge generative models - there is already the experience in the team needed to translate this to the world of robotics. If you're interested in bringing your experience to the robotics domain with a fast growing and extremely well backed company then please apply!

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!