{"id":959677,"url":"https://alion.io/job/analog-devices-principal-ai-ml-robotics-engineer-environmental-perception","title":"Principal AI/ ML Robotics Engineer - Environmental Perception","company":{"id":58431,"name":"Analog Devices","domain":"analog.com","url":"https://alion.io/company/analog-devices","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":37,"ghost_share":0,"stale_share":0.595,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Limerick, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":223000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":636},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Kubernetes","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"ROS","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Unreal Engine","optional":false},{"name":"Visual-Inertial Odometry","optional":false},{"name":"Cartographer","optional":true},{"name":"OpenVINS","optional":true},{"name":"ORB-SLAM3","optional":true},{"name":"RTAB-Map","optional":true}],"status":"live","first_seen_at":"2026-05-06T00:00:00Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-09-23T12:55:20Z","board_verified":true,"closed_at":null,"days_open":140,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":140},"description":"About Analog Devices\nAnalog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more atwww.analog.comand onLinkedInand Twitter (X).\nPrincipal Engineer - AI for Visual Perception, SLAM, and Sensor Fusion\nLocation: Ireland\nTeam: Edge AI Group, Analog Devices Inc. (ADI)\nAnalog Devices’ Edge AI team is building the next generation of intelligent sensing systems that reshape how machines perceive and interact with the physical world. From deeply embedded algorithms to scalable AI applications, we work across the full stack to fuse advanced hardware with real-time intelligence. Our mission: bring AI to the Edge - where decisions meet the real world.\nWe are looking for a Principal Engineer with deep domain expertise in visual odometry, sensor fusion, SLAM, and AI-based perception to lead the development of real-world localization and mapping solutions. You will work at the intersection of embedded sensing, robotics, and machine learning, helping create systems that can understand, navigate, and adapt to their environments autonomously - in factories, warehouses, vehicles, and beyond.\nYou will join a high-impact team developing foundational components for ADI’s next wave of perception-enabled solutions. This is a hands-on leadership role for someone who thrives on solving open-ended challenges, defining technical roadmaps, and mentoring other engineers.\nResponsibilities\nLead the design and deployment of SLAM, VIO, and multi-sensor fusion systems that enable robust, real-time mapping and localization across diverse environments.\nDrive algorithm development and evaluation for perception tasks, including pose estimation, depth reconstruction, loop closure, map optimization, and semantic understanding.\nArchitect AI pipelines that combine classical and learned methods (e.g., CNNs, transformers, foundation models) for environmental understanding at the edge.\nDevelop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.\nCollaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.\nStay current with the state of the art in robotics, SLAM, Edge AI, and self-supervised learning - and guide the team in adopting innovative technologies.\nContribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.\nQualifications\n10+ years of experience in robotics, computer vision, or AI, including 5+ years in SLAM, VO, or sensor fusion; with 3+ years in a technical leadership role.\nM.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.\nDemonstrated expertise in at least one of the following: Visual-inertial odometry (VIO)\n Multi-sensor fusion (camera, LiDAR, IMU, encoders)\n3D SLAM and mapping in dynamic environments\n AI-based perception models for real-time localization\n\nProven track record of deploying perception algorithms in real-world systems (e.g., autonomous robots, drones, AR/VR, self-driving platforms).\nStrong programming skills in Python and C++, with experience in frameworks like PyTorch, ROS, g2o, or Ceres.\nComfortable working with real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, or Unreal Engine.\nFamiliar with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.\nExcellent communicator and collaborator - capable of leading multi-disciplinary teams and influencing stakeholders across hardware, software, and business domains.\nBonus Experience (Nice to Have)\nExperience with self-supervised learning, foundation models for robotics, or transformer-based perception architectures.\nFamiliarity with industrial domains: factory automation, AMRs, predictive maintenance, etc.\nPrior contributions to open-source projects (e.g., OpenVINS, ORB-SLAM3, DROID-SLAM, RTAB-Map, Cartographer).\nUnderstanding of sensor design, signal processing, or embedded AI hardware platforms.\nWhy Join ADI?\nJoin us in shaping the future of edge intelligence - where your work bridges the gap between sensing and understanding, and where you’ll help machines not just gather data, but act meaningfully in the world.\nFor positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.\nAnalog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.\nJob Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days","description_format":"text","description_chars":5731,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ireland","iso":"IE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hardware","Embedded Systems","Semiconductors"],"lifecycle":[{"event":"open","at":"2026-09-16T08:31:40Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.369,"p_room":0.28,"age_days":140,"expected_fill_days":55,"reasons":["conf:5","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/analog-devices-principal-ai-ml-robotics-engineer-environmental-perception","json_url":"https://alion.io/job/analog-devices-principal-ai-ml-robotics-engineer-environmental-perception.json","meta":{"generated_at":"2026-09-23T15:28:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}