{"id":3172898,"url":"https://alion.io/job/accenture-next-generation-robotics-graduate-program","title":"Next Generation Robotics Graduate Program","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2085,"ghost_share":0.001,"stale_share":0.141,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":801},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Digital Twin","optional":false},{"name":"Docker","optional":false},{"name":"Gazebo","optional":false},{"name":"Git","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Machine Learning","optional":false},{"name":"Motion Planning","optional":false},{"name":"OpenVLA","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T00:00:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Sobre a vaga\nDesigned for final-year Master’s and PhD students, as well as recent graduates, who want to launch their careers in Robotics and Artificial Intelligence. You will support the design, development and deployment of intelligent robotic solutions at the intersection of AI and Digital Engineering.\n\nO que vais fazer\n\nContribute to the development of innovative robotics and AI-driven solutions\nSupport the creation of simulation environments and digital representations of real-world systems\nHelp design and improve robotic perception, autonomy and decision-making capabilities\nCollaborate with multidisciplinary teams across Robotics, AI and Engineering\nParticipate in testing, validation and deployment activities\nExplore emerging technologies and contribute to innovation initiatives\nWork on real-world challenges that drive automation and operational excellence\nContinuously develop your technical and professional skills through hands-on project experience\n\nO que é pedido\n\nCurrently completing, or recently completed, a Master’s or PhD degree in Robotics Engineering, Computer Science / Computer Engineering, Electrical and Computer Engineering, Mechanical Engineering, Artificial Intelligence, Applied Mathematics or a related Engineering or Technology discipline\nKnowledge of Computer Vision, Deep Learning and Machine Learning techniques\nExposure to deep learning frameworks such as PyTorch\nProgramming experience with Python and/or C++\nFamiliarity with Git, Docker and software engineering best practices\nStrong analytical and problem-solving skills\nAbility to work effectively in collaborative and multidisciplinary teams\nEagerness to learn and develop in a fast-paced, innovative environment\nFluency in English\n\nValorizado\n\nKnowledge of robotics development frameworks such as ROS2\nAcademic experience with simulation platforms such as Isaac Sim, Gazebo or MuJoCo\nUnderstanding of motion planning, robotic control and sensor fusion\nKnowledge of Digital Twins, 3D modelling or synthetic data generation\nExposure to Reinforcement Learning concepts and applications\nFamiliarity with emerging Robotics AI models and platforms such as OpenVLA, NVIDIA GR00T or π0\nResearch experience gained through a Master’s thesis, PhD research, scientific publications or participation in research projects\nHands-on experience gained through academic projects, internships, research activities, hackathons, robotics competitions or personal initiatives\nInterest in bridging cutting-edge research and industrial applications of Robotics and AI\nInterest in autonomous systems, intelligent robotics and industrial automation\nFamiliarity with collaborative and agile ways of working\n\nO que é oferecido\n\nA structured Graduate Program designed to support your transition from academia to industry\nHands-on experience with cutting-edge Robotics and AI technologies and real-world projects\nOpportunities to apply advanced research concepts to real-world industrial challenges\nMentoring and coaching from experienced professionals in Robotics, Artificial Intelligence and Digital Engineering\nContinuous learning through training and professional development opportunities\nCollaboration with multidisciplinary and international teams\nExposure to emerging technologies shaping the future of industry and automation\nA supportive environment that encourages innovation, creativity and growth\nOpportunities for long-term career growth and development\nA competitive compensation\n\nResumo organizado por IA a partir do anúncio original. 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