{"id":1252307,"url":"https://alion.io/job/astar-research-engineer-embodied-ai-robotics-iaic","title":"Research Engineer, Embodied AI & Robotics, IAIC","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"B","score":75,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":105000,"period":"year","method":"role_country_seniority_unknown","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"EtherCAT","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Lab","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Linux","optional":false},{"name":"Localization","optional":false},{"name":"Motion Planning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:36:13Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-18T15:48:33Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Job Summary\nWe are seeking a talented and experienced (Senior) Robotics R&D Engineer to join our team, specialising in robot manipulation and dexterity. In this role, you will develop the grasping, bimanual manipulation and contact-rich dexterous in-hand manipulation capabilities that allow robots to handle diverse, fragile, tightly-toleranced and/or high-value parts - and to do so safely alongside people in shared workspaces. You will take manipulation tasks from concept to policies and controllers running on real hardware, collaborating with cross-functional teams, researching state-of-the-art methods, and validating system performance under real-world conditions. A strong foundation in robotics, manipulation and control, solid programming ability, and a rigorous experimental mindset are essential. Experience with dexterous or multi-fingered end-effectors, force/tactile sensing and ROS2 is an advantage, as is fluency with AI-assisted coding tools.\nRoles and Responsibilities\nYou may be involved in a combination of the following tasks:\nDevelop and implement manipulation algorithms for manipulation tasks, using learned (including but not limited to reinforcement learning, world model and other robot foundation models), model-based, or hybrid approaches as the task demands.\nDesign and tune force, impedance, admittance, and hybrid force/position control to handle delicate and tightly-toleranced objects without damage.\nDevelop perception for manipulation, including 6-DoF pose estimation, grasp affordance prediction, and tactile or multimodal sensing.\nBuild simulation environments and drive sim-to-real transfer through system identification, domain randomization, and hardware validation.\nImplement safety-aware control and motion planning for close-proximity human-robot interaction.\nPerform integration of arms, grippers, dexterous hands, force-torque sensors, and tactile skins, integrating perception, learning, and control into a complete ROS 2 system for real-world deployment.\nDefine and run benchmarks that measure system safety, performance, and reliability.\nContinuously research and implement state-of-the-art algorithms and methodologies to improve manipulation dexterity, robustness, and efficiency.\nCollaborate with cross-functional teams, including hardware engineers, software developers, and researchers in adjacent embodied AI areas, to achieve project goals.\nMaintain detailed documentation of code, algorithms, experiments, and project progress, and mentor junior engineers, facilitating knowledge sharing within the team.\nJob Requirements\nBachelor degree or higher in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related field.\nDemonstrated experience in developing manipulation, motion planning, or robot control systems.\nDemonstrated experience deploying and debugging algorithms on physical robot hardware.\nDemonstrated depth in at least two of the following areas, with working familiarity across the rest:Grasp synthesis, manipulation planning and control\nForce, impedance, admittance, or compliance control\nLearning-based manipulation, including imitation learning, reinforcement learning, and diffusion or vision-language-action policies\nTactile and multimodal perception for contact-rich tasks\nSim-to-real transfer and system identification\n\nExperience with Isaac Sim / Isaac Lab, MuJoCo etc, and with real-time Linux, EtherCAT, or low-level motor control.\nProficiency in Python and modern C++, with sound judgment on what belongs in a real-time control loop.\nPractical experience with ROS 2 in production or research systems.\nKnowledge of deep learning frameworks.\nExperience in software development, including version control, code review, testing, and debugging techniques on hardware.\nStrong communication skills to collaborate effectively with mechanical, controls, software, and process engineers, and to present technical findings.\nStrong commitment to solving difficult technical challenges in robot manipulation.\nProficiency with AI coding assistants and agents as part of the development workflow is preferred.\nPublications at RSS, CoRL, ICRA, IROS, or equivalent, or significant open-source contributions is an added 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