DeFi Jobs

What are we all about? We are a team of builders and researchers on a mission to empower enterprises and developers worldwide to access and build on decentralized systems. Our expertise covers several domains: Ethereum and Starknet protocol engineering, layer-2, AI, cryptography research, protocol research, decentralized finance (DeFi), security auditing, formal verification, real-time monitoring, smart contract development, and dapps and enterprise engineering. Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with renowned companies, such as Ethereum Foundation, Starknet Foundation, Gnosis Chain, Flashbots, Forta Protocol, Lido, EigenLayer, Open Zeppelin, RISCZero, Aleph Zero, and many more. Today, we are a 350+ strong team working remotely across 66+ countries. View all our open positions here: https://www.nethermind.io/open-roles Are you the one? Imagine joining a pioneering team at the forefront of humanoid robotics and embodied AI, where your expertise drives innovation in multimodal sensing, telemetry, and human data capture. We’re redefining how intelligent systems learn from and interact with their environment by integrating advanced sensors, real-time monitoring, and human training data into our next-generation robotic platforms. If you’re passionate about transforming robotics through cutting-edge research and interdisciplinary collaboration, we want to hear from you. Responsibilities:

Advanced Humanoid Robotics Development: Lead the design, integration, and optimization of robotic systems tailored for embodied AI applications, focusing on humanoid platforms. Multimodal Sensing & Telemetry Integration: Develop and implement robust sensor fusion techniques for diverse inputs (e.g., vision, IMU, tactile, audio) and design telemetry systems to monitor real-time performance and capture training data from human demonstrations. Human Data Acquisition & AI Integration: Architect solutions for recording, processing, and leveraging human training data to enhance robot learning and adaptive behavior. Interdisciplinary Collaboration: Work closely with hardware, simulation, and software teams to ensure seamless integration of AI models, sensor platforms, and embedded systems. Optimization & Deployment: Ensure that algorithms and models are efficiently deployed on edge devices and robotic platforms, addressing constraints like latency, energy consumption, and real-time operation. Research & Innovation: Drive cutting-edge research initiatives, contribute to peer-reviewed publications, and continuously push the boundaries of what humanoid robots can achieve.

Skills:

PhD in Electronics, Robotics, Computer Science, or a related field. Deep expertise in humanoid robotics and embodied AI, with a strong background in multimodal sensing, sensor fusion, and telemetry system design. Proficiency with robotics middleware and simulation platforms (e.g., ROS2, Gazebo, PyBullet, NVIDIA Isaac). Advanced programming skills in Python and C++, with experience in real-time systems and embedded deployments. Proven research acumen demonstrated through innovative problem-solving, algorithm development, and a track record of scholarly publications. Excellent communication skills and a collaborative mindset to work effectively across interdisciplinary teams.

Nice to have:

Experience in integrating AI models for robotics applications, including reinforcement learning and data-driven control systems. Familiarity with human-robot interaction protocols, safety standards, and ethical considerations in autonomous systems. Exposure to cloud-based systems and edge computing to support scalable robotic deployments.

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