{"id":1253177,"url":"https://alion.io/job/mistral-ai-applied-ai-engineer-robotics","title":"Applied AI Engineer, Robotics","company":{"id":22,"name":"Mistral AI","domain":"mistral.ai","url":"https://alion.io/company/mistral-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":4,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-02T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral SDK","optional":false},{"name":"Obstacle Avoidance","optional":false},{"name":"Path Planning","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"AMCL","optional":true},{"name":"Cartographer","optional":true},{"name":"Nav2","optional":true},{"name":"Quantization","optional":true},{"name":"RTAB-Map","optional":true},{"name":"slam_toolbox","optional":true},{"name":"Vision-Language-Action","optional":true},{"name":"VLM","optional":true}],"status":"live","first_seen_at":"2026-09-25T13:52:58Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-02T22:50:49Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About Mistral\nMistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.\nWe are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.\nAbout The Job\nMistral AI is seeking an Applied AI Engineer focused on robotics deployment. You will take state-of-the-art AI models and make them work on real robots, in real environments, for real customers. This is a hands-on role at the intersection of machine learning and physical systems: you will own the path from model to deployed autonomy, working alongside robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions across diverse use cases.\nWhat you will do\nIntegrate AI models with robotic hardware, sensors, and embedded systems, bringing modern perception and language-driven capabilities onto physical platforms.\n\nImprove the robustness, reliability, and safety of robotic systems operating in real-world, unstructured environments.\n\nTest and validate algorithms in simulation and in real-world deployments, moving fluidly between the two.\n\nAnalyze field data to improve model performance and system reliability, closing the loop between what happens on the robot and what happens in training.\n\nBring up, tune, and debug the autonomy stack - localization, mapping, navigation, and perception - on real hardware, from sensor calibration to real-time performance.\n\nDevelop and tune robot navigation behaviors - path planning, obstacle avoidance - so systems hold up in dynamic, cluttered, and partially observable environments.\n\nDiagnose failures end-to-end: mapping drift, localization dropouts, perception edge cases, timing issues - and fix them.\n\nCollaborate with robotics engineers, ML researchers, and systems engineers to deliver complete autonomous solutions for customer use cases, from prototype through production deployment.\n\nBuild and maintain the tooling needed for deployment, monitoring, and continuous improvement of deployed systems.\n\nAbout you\nBachelor's, Master's, or PhD in Mechatronics, Robotics, or a relevant discipline (e.g. Computer Science, Electrical or Mechanical Engineering).\n\nFluent in English with excellent communication skills.\n\nStrong software engineering in Python and/or C++: clean, readable, high-performance code; comfortable working in and improving production codebases.\n\nKnowledge of robotics frameworks such as ROS/ROS2.\n\nExperience with robot perception and state estimation: SLAM, localization and mapping, path planning, sensor fusion, or computer vision.\n\nSolid mathematical fundamentals - geometry, probability, and estimation - and the judgment to know when a hand-crafted algorithm beats a learned one.\n\nFamiliarity with simulation tools and robotics development environments (e.g. Isaac Sim, Gazebo, or similar).\n\nStrong problem-solving skills and ability to work in interdisciplinary teams.\n\nComfortable with the messiness of the real world: hardware quirks, edge cases, and field surprises don't scare you.\n\nLow-ego, collaborative, and eager to learn.\n\nDoesn't need roadmaps. Ships.\n\nNice to have\nExperience deploying ML models on embedded or edge hardware (GPU/NPU inference, quantization, real-time constraints).\n\nHands-on experience with sensor modalities such as LiDAR, depth cameras, or IMUs, including calibration and time-synchronization.\n\nExposure to VLM/VLA models or other foundation-model approaches for robot perception and control.\n\nExperience with navigation in GPS-denied or otherwise challenging environments, or with visual-inertial odometry.\n\nWorking knowledge of established autonomy tooling - e.g. Nav2, SLAM Toolbox, Cartographer, RTAB-Map, or AMCL - and knowing when to build versus reuse.\n\nExperience with behavior trees, dynamic costmaps, or fleet-level navigation.\n\nContributions to open-source robotics or ML projects.\n\nExperience with safety-critical or regulated deployment environments.\n\nTrack record of success through personal projects, professional projects, or academia.\n\nWhat We Offer\nWe offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.\nFor the most up-to-date details on benefits available in your location, please refer to our Benefits page.\nPrivacy Policy\nYour privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.","description_format":"text","description_chars":5060,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Parental leave","Retirement plans","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["LLM & Generative AI","Code Intelligence","Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-25T18:39:18Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":6,"expected_fill_days":64,"reasons":["conf:14","velocity","win:early","comp:brand"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mistral-ai-applied-ai-engineer-robotics","json_url":"https://alion.io/job/mistral-ai-applied-ai-engineer-robotics.json","meta":{"generated_at":"2026-10-03T01:36:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1619,"day_limit":5000,"remaining_today":3381,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}