{"schemaVersion":"jobsearcher.job.v1","id":"012455dba2a7c217f2075cf3","url":"https://jobsearcher.com/jobs/012455dba2a7c217f2075cf3","canonicalUrl":"https://jobsearcher.com/jobs/012455dba2a7c217f2075cf3","title":"Robotic Algorithm Engineer","description":"Job Description\n\nWe are building a next-generation humanoid robot platform with high-bandwidth torque-controlled joints and full-body actuation. Our short- to mid-term goal is to achieve robust and reliable locomotion in indoor service and industrial environments.As a Robotics Algorithm Engineer focused on Locomotion, you will work across simulation, learning-based control, state estimation, and real-robot deployment. This is a highly hands-on role requiring both strong implementation skills and the ability to debug complex real-world robotic behaviors.We are looking for engineers who not only implement algorithms, but also develop their own technical insights and adapt quickly in a rapidly evolving robotics landscape.ResponsibilitiesLocomotion & Learning-Based ControlDevelop and deploy RL-based locomotion policies for humanoid robotsDesign training pipelines including domain randomization and sim-to-real transferImprove policy robustness for indoor service and industrial use casesAnalyze and debug failure modes from both simulation and real-world testingFull-Body Control & ModelingWork on whole-body control frameworks integrating learned policiesUnderstand and leverage robot dynamics models for stability and contact reasoningContribute to state estimation using IMU, joint encoders, and contact sensingSimulation & ToolingBuild and maintain locomotion simulation environments (Mujoco / Isaac)Design training environments and reward shaping strategiesAnalyze the simulation-real gap and iterate on mitigation strategiesReal Robot DeploymentDeploy policies to hardware with torque-controlled, high-bandwidth actuatorsPerform real-robot tuning, debugging, and performance optimizationWork closely with firmware, motor control, and hardware teamsQualificationsMust Have3+ years of experience in robotics, control, or locomotion-related rolesStrong C++ and Python programming skillsExperience applying reinforcement learning to robotics control problemsExperience deploying algorithms on real robots (not simulation-only)Solid understanding of rigid body dynamics and feedback controlFamiliarity with state estimation for legged robotsExperience working in Linux environmentsNice to HaveExperience with humanoid or legged robotsWhole-Body Control or MPC exposureMujoco / Isaac Gym / Isaac Sim experienceExperience addressing sim-to-real transfer challengesFamiliarity with Pinocchio, CasADi, or similar toolsCUDA or large-scale RL training experienceROS2 experienceWork ModeOn-site requiredUp to 10% of travel","company":"Scylla Solutions","rawCompany":"scylla solutions","city":"Milpitas","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-27T10:01:57.675Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"}],"industries":[{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotic Algorithm Engineer","description":"Job Description\n\nWe are building a next-generation humanoid robot platform with high-bandwidth torque-controlled joints and full-body actuation. Our short- to mid-term goal is to achieve robust and reliable locomotion in indoor service and industrial environments.As a Robotics Algorithm Engineer focused on Locomotion, you will work across simulation, learning-based control, state estimation, and real-robot deployment. This is a highly hands-on role requiring both strong implementation skills and the ability to debug complex real-world robotic behaviors.We are looking for engineers who not only implement algorithms, but also develop their own technical insights and adapt quickly in a rapidly evolving robotics landscape.ResponsibilitiesLocomotion & Learning-Based ControlDevelop and deploy RL-based locomotion policies for humanoid robotsDesign training pipelines including domain randomization and sim-to-real transferImprove policy robustness for indoor service and industrial use casesAnalyze and debug failure modes from both simulation and real-world testingFull-Body Control & ModelingWork on whole-body control frameworks integrating learned policiesUnderstand and leverage robot dynamics models for stability and contact reasoningContribute to state estimation using IMU, joint encoders, and contact sensingSimulation & ToolingBuild and maintain locomotion simulation environments (Mujoco / Isaac)Design training environments and reward shaping strategiesAnalyze the simulation-real gap and iterate on mitigation strategiesReal Robot DeploymentDeploy policies to hardware with torque-controlled, high-bandwidth actuatorsPerform real-robot tuning, debugging, and performance optimizationWork closely with firmware, motor control, and hardware teamsQualificationsMust Have3+ years of experience in robotics, control, or locomotion-related rolesStrong C++ and Python programming skillsExperience applying reinforcement learning to robotics control problemsExperience deploying algorithms on real robots (not simulation-only)Solid understanding of rigid body dynamics and feedback controlFamiliarity with state estimation for legged robotsExperience working in Linux environmentsNice to HaveExperience with humanoid or legged robotsWhole-Body Control or MPC exposureMujoco / Isaac Gym / Isaac Sim experienceExperience addressing sim-to-real transfer challengesFamiliarity with Pinocchio, CasADi, or similar toolsCUDA or large-scale RL training experienceROS2 experienceWork ModeOn-site requiredUp to 10% of travel","datePosted":"2026-04-27T10:01:57.675Z","dateModified":"2026-04-27T10:01:57.675Z","hiringOrganization":{"@type":"Organization","name":"Scylla Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"012455dba2a7c217f2075cf3"},"url":"https://jobsearcher.com/jobs/012455dba2a7c217f2075cf3"}}