{"id":2629768,"url":"https://alion.io/job/apptronik-senior-perception-learning-engineer-2","title":"Senior Perception Learning Engineer","company":{"id":47983,"name":"Apptronik","domain":"apptronik.com","url":"https://alion.io/company/apptronik","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":23,"ghost_share":0,"stale_share":0.478,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States","Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CLIP","optional":false},{"name":"Computer Vision","optional":false},{"name":"Detectron2","optional":false},{"name":"DINOv2","optional":false},{"name":"Isaac Sim","optional":false},{"name":"JAX","optional":false},{"name":"Localization","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Visual-Inertial Odometry","optional":false},{"name":"World Models","optional":false},{"name":"YOLO","optional":false},{"name":"Cartographer","optional":true},{"name":"GStreamer","optional":true},{"name":"Kimera","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"ORB-SLAM3","optional":true},{"name":"Quantization","optional":true},{"name":"ROS","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-15T15:25:47Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T11:36:27Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.\nWe operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.\nYou will drive research and development of advanced perception systems that empower Apptronik’s humanoid robots to understand and interact with complex human environments. Your work will focus heavily on SLAM, visual-inertial odometry, world modeling, and learning-based perception, alongside object detection and multi-sensor fusion, creating the foundation for robust autonomy in real-world settings.\nYou will design and optimize deep learning models for real-time detection, tracking, segmentation, scene understanding, and state estimation while contributing to scalable pipelines for training, evaluation, and deployment. You will also integrate data from multiple modalities-Cameras, LiDAR, depth sensors, and IMUs-into unified world models that support navigation, manipulation, safety, and human-robot interaction.\nThis role requires balancing research innovation with practical engineering to deliver deployable, high-performance SLAM and perception stacks. You will collaborate across Reinforcement Learning teams, Platform Software team, and Systems teams, and contribute to shaping Apptronik’s perception and autonomy roadmap. Your work will directly accelerate the development of humanoid robots that can safely operate in human spaces, adapt to dynamic environments, and extend human capability.\nCore Responsibilities\nLead Design, develop, and optimize perception and SLAM pipelines for humanoid robots, including visual-inertial odometry, mapping, localization, object detection, tracking, segmentation, pose estimation, and scene understanding.\nDevelop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time state estimation and mapping in dynamic human-centered environments.\nContribute to scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.\nDrive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.\nImplement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.\nCollaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.\nGuide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.\nContribute to best practices in code quality, model versioning, reproducibility, and deployment.\nRequired Qualifications\nMS/PhD in Computer Science, Robotics, Computer Engineering, or related field.\n3- 5+ years building and shipping perception and/or SLAM systems in robotics or real-time vision applications.\nStrong background in SLAM, VIO, probabilistic state estimation, and deep learning for computer vision.\nPractical expertise in detection, segmentation, multi-object tracking, 3D perception, and learning-based mapping/localization.\nHands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo).\nProficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).\nDeep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, factor graphs, SLAM, VIO).\nExperience deploying optimized perception or SLAM models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints.\nTrack record of shipping ML/Perception or SLAM systems from R&D into production robotics platforms.\nPreferred Experience\nExperience with humanoid robots, bipedal locomotion, and manipulation tasks.\nExperience with modern SLAM frameworks (e.g., ORB-SLAM, VINS, Kimera, Cartographer) or learning-based SLAM systems.\nStrong classical computer vision skills (geometry-based methods, feature extraction) complementing learning-based approaches.\nExpertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).\nFamiliarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.\nKnowledge of synthetic data generation and domain adaptation techniques for training perception and SLAM models.\nContributions to open-source robotics or vision software stacks.\nThe annual salary range is $220,000 - $250,000\n*This is a direct hire. Please, no outside Agency solicitations. \nApptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","description_format":"text","description_chars":5765,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Robotic Components & Sensors","Humanoid Robots"],"lifecycle":[{"event":"open","at":"2026-10-15T15:46:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 23","filings_12m":23,"filings_prev_12m":20,"green_card_filings_12m":0,"median_offered_wage_usd":157500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":20}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":77,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/apptronik-senior-perception-learning-engineer-2","json_url":"https://alion.io/job/apptronik-senior-perception-learning-engineer-2.json","meta":{"generated_at":"2026-10-16T11:47:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":47983},"rest":"https://alion.io/mcp/rest/get_company?id=47983"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fapptronik-senior-perception-learning-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fapptronik-senior-perception-learning-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fapptronik-senior-perception-learning-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/apptronik-senior-perception-learning-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fapptronik-senior-perception-learning-engineer-2"}]}