Senior/Staff Robotics Engineer

About the role

As a Senior/Staff Robotics Engineer, you will be integral in driving the company's next phase of innovation - automating industrial processes to address the scarcity of skilled labor. Your main focus will be on R&D and will involve building and showcasing a demonstrator that utilizes industrial robot arms to automate currently manual tasks.

What you'll do

• Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
• Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing.
• Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.
• Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.
• Design and develop middleware and software solutions tailored for robotic manipulation applications.
• Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.
• Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.
• Experience with integration between hardware components, including tactile sensors, force sensors, vision systems, and depth sensors to optimize communication protocols and data flow.

What you'll need

• Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.
• Minimum of 1-2 years of experience in robotics research or development.
• Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.
• Hands-on experience with machine learning techniques applied to robotic manipulation tasks.
• Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).
• Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.
• Proficiency with machine learning libraries like TensorFlow or PyTorch.
• Fluency in English is mandatory.

Nice to have

• Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.
• Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.
• Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.

What they offer

• Competitive salary and stock options
• Work on cutting-edge projects with real-world impact in AI-first manufacturing
• Diverse and talented team with more than 10 nationalities
• Flat hierarchy, open 360° feedback, and flexible working hours
• Commitment to developing ethical AI software