Elysium Robotics is an early-stage company headquartered in Austin, Texas, developing revolutionary low-cost, highly capable robotic systems with dexterity and natural grace. Our proprietary muscle-like elastic actuator technology addresses a decades-old challenge in robotics, enabling automation for tasks current robots cannot do. These microfiber actuators enable real bio-mimetic design opportunities based on the same muscle fiber actuation principles biology engineers with. We are building a world-class team to revolutionize robotics.
We are opening a software-focused office in London that will support and collaborate with the core team in Austin, TX. This UK-based team will be responsible for Lab Data and Analytics Systems, and for Robotic System Design, Simulation, Task Control, and Training.
Location: Initial hires will work from home with the expectation that a central office will be established in the coming months. This office will likely be in Central or East London, and a flexible hybrid schedule of in-person and remote work will be established. There is also the possibility of locating in Cambridge, depending on various factors including team member locations.
Role Overview
We are seeking a Senior Robotics Design & Simulation Engineer to architect the virtual "bodies" and environments for our next-generation robotics built using our breakthrough elastic synthetic muscle actuators. You will build high-fidelity digital twins of our elastic actuators and robotic systems to explore and demonstrate a wide range of concepts before hardware is ever built. Working at the intersection of Mechatronics, Physics Simulation, and Product Design, you will utilize cutting edge physics simulators for robotics (VSim) to model both current actuator capabilities and future theoretical performance limits.
Our Collaborative Approach: You will work in a tight-knit, two-person simulation unit alongside our Senior Robotic Controls & RL Simulation Engineer. While you will focus heavily on system design with elastic actuators, CAD, physics-based environment modeling, and use-case architecture, your partner will focus on the control theory and reinforcement learning required to make those models move. We expect both roles to creatively overlap and share the total scope of bringing our synthetic muscle technology to life in simulation. As our first two simulation hires, your combined skillsets will dictate the specific focus of our future team expansion.
Key Responsibilities
We are an equal opportunity employer. If you require any reasonable adjustments during the application or interview process, please let us know.