Atlas Staff Perception Engineer, Tactile Sensing

We're looking for a Staff Perception Engineer specializing in tactile sensing to help advance the next generation of robotic manipulation. In this role, you will design and develop sensing data systems that allow robots to physically interact with the world, transforming raw tactile signals into meaningful data representations that drive intelligent robot behavior. You will work at the intersection of signal processing, simulation, machine learning, and robotics, developing high-bandwidth data acquisition pipelines that enable robots to perceive contact, force, and interaction with their environment. This role requires hands-on experimentation and close collaboration with teams across software, systems, and controls engineering to build perception solutions that improve the capabilities and reliability of robotic platforms operating in dynamic environments.

Responsibilities

Collaborate with multidisciplinary teams to design, evaluate, and demonstrate tactile sensing data representations that enable reliable closed-loop robotic manipulation and interaction with the environment; Architect and implement highly optimized data pipelines to acquire, process, and stream high-bandwidth data from tactile sensors; Design and deploy automated data collection routines using robot end-effectors or instrumented test rigs to generate ground-truth datasets for sensor calibration and modeling; Conduct hands-on testing to characterize sensor behavior under operational loads including motion, vibration, and thermal variation; Develop data processing pipelines that leverage advanced DSP techniques to filter, fuse, and compress raw sensor signals into optimized representations used by robotic perception and behavior models; Model sensor performance and drive the integration of tactile sensing into simulated virtual environments (e.g., Isaac Sim, MuJoCo) to effectively bridge the sim-to-real gap; Work closely with software, systems, manufacturing, and test engineering teams to define hardware interfaces and ensure successful system integration; Document designs, experiments, and learnings while contributing to improved development processes, tools, and design standards

Requirements

MS or PhD in Electrical Engineering, Computer Science, Robotics, or related field. BS with significant relevant experience will also be considered; 5+ years of experience developing embedded systems in robotics, automation, or similar electromechanical products; Strong understanding of the physical principles behind tactile sensing and the ability to model sensor behavior and translate physical limitations into robust data representations; Experience using version-control (Git) and developing software in Python and C++ for robotic systems, emphasizing high-bandwidth data acquisition; Proficiency in Python and deep learning frameworks such as PyTorch applied to sensor data processing or representation learning; Strong technical communication and documentation skills

Nice to have

Experience designing and executing hardware-based data collection campaigns to generate ground-truth datasets for sensor calibration, modeling, or simulation environments such as Mujoco or Isaac Sim; Experience integrating multiple sensor modalities such as vision, force/torque sensors, IMUs, or tactile arrays into complex electromechanical systems to build cohesive environmental representations; Certifications related to robotics safety, reliability engineering, or IPC standards are a plus

Benefits

medical; dental; vision; 401(k); paid time off; annual bonus structure