{"id":1773135,"url":"https://alion.io/job/civrobotics-physical-ai-engineer","title":"Physical AI Engineer","company":{"id":176544,"name":"CivRobotics","domain":"civrobotics.com","url":"https://alion.io/company/civrobotics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":163000,"max_usd":359000,"period":"year","method":"role_country_seniority_unknown","sample_n":3434},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Physical AI","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":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false},{"name":"Autonomous Navigation","optional":true},{"name":"Edge AI","optional":true},{"name":"Gaussian Splatting","optional":true},{"name":"Isaac Sim","optional":true},{"name":"NeRF","optional":true},{"name":"Self-Supervised Learning","optional":true},{"name":"Synthetic Data","optional":true},{"name":"Teleoperation","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:12:22Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-07T22:10:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Company\nCiv Robotics is on a mission to automate repetitive tasks within the $3 trillion infrastructure construction industry. We’re dedicated to bridging the workforce gap and accelerating the development of essential infrastructure projects. At the core of our mission is our innovative technology in robotics and autonomous navigation.\nWith over 100 robots deployed and operating across construction sites worldwide, we pride ourselves in ushering in the next generation of construction layout tools for solar, civil, land surveying, road striping, and general contracting. Our technology is engineered from the ground up to make our customers’ projects more precise, simple, and efficient than ever before.\nJoin us and become an integral member of our dynamic team, leading the charge in pioneering construction robotics innovation!\nAbout the Role\nYou’ll explore, prototype, and deploy new approaches to intelligence on real robots.\nThat could mean:\nBuilding learning-based perception and vision systems for unstructured outdoor environments\nExploring Vision-Language-Action models, foundation models, imitation learning, reinforcement learning, and learned world models\nCreating ways for robots to learn from demonstrations, operators, previous missions, and fleet data\nCombining classical robotics with modern machine learning rather than treating them as competing philosophies\nDeveloping models for scene understanding, terrain understanding, object detection, segmentation, localization, manipulation, and autonomous behavior\nFinding ways to turn large amounts of robot sensor data into useful training data\nBuilding data collection, evaluation, replay, and training pipelines for physical AI\nTaking recent research and figuring out what actually works on a robot\nDesigning experiments, testing them in simulation, and then getting outside and putting them on a machine\nWorking closely with autonomy, controls, embedded, mechanical, and product engineers\nHelping define the longer-term Physical AI architecture for our robots and fleet\nAt Staff level, you'll also help identify what we should be working on next - not just execute an existing roadmap.\nWhat we're looking for\nYou have deep experience in some combination of:\nMachine learning / deep learning\nComputer vision\nRobotics and autonomous systems\nC++ and Python\nPyTorch or similar ML frameworks\nROS / ROS2\nReal-world sensor data: cameras, LiDAR, GNSS, IMU, or similar\nTraining, evaluating, and deploying models on real systems\nBut more importantly, you know how to make things work outside the lab.\nYou understand that a model running once in a notebook is very different from a model running every day on a robot.\nYou care about latency, compute, bad sensors, weird edge cases, changing environments, debugging, and the thousand small details between a good idea and a working machine.\nYou might be a great fit if\nYou read new robotics and AI papers and immediately want to try them.\nYou have side projects involving robots, cameras, drones, arms, cars, embedded systems, or strange pieces of hardware you probably didn't need to buy.\nYou enjoy moving between research code and a robot with a wrench next to it.\nYou're comfortable questioning the current approach and saying, “There might be a completely different way to solve this.”\nYou don't divide the world into “AI people” and “robotics people.”\nAnd when something finally works on a 10,000-pound machine in the real world, that feels considerably more exciting than improving a benchmark by another 1%.\nBonus points\nExperience with any of the following is useful, but not required:\nVision-Language Models / Vision-Language-Action models\nImitation learning or reinforcement learning\nRobot foundation models\n3D perception\nNeural rendering / NeRF / Gaussian Splatting\nSelf-supervised or unsupervised learning\nSynthetic data and simulation\nNVIDIA Jetson / TensorRT / edge inference\nIsaac Sim or other robotics simulators\nLarge-scale robotics datasets\nLearning from teleoperation or human demonstrations\nHeavy equipment, autonomous vehicles, agricultural robots, mining, construction, or other outdoor robotics\nWhy Civ Robotics\nWe have something that is still rare in Physical AI: Real robots, doing real work, generating real data.\nOur machines are deployed in environments where autonomy creates immediate economic value. That gives us the opportunity to close the loop between deployment, data, learning, and improvement.\nYou'll be able to build something, put it on a robot, test it in the field, learn from it, and make the next version better.\nWe're looking for someone who wants to help figure out what the next generation of real-world robots should look like - and then build it.\nBenefits & Perks\nComprehensive healthcare coverage (medical, dental, vision) for you and your family.\nCompetitive salary with growth potential.\nEquity options in a fast-growing robotics company.","description_format":"text","description_chars":4913,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Solar Energy"],"lifecycle":[{"event":"open","at":"2026-10-03T15:56:26Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.867,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-07T05:47:15Z"},"pay":null,"html_url":"https://alion.io/job/civrobotics-physical-ai-engineer","json_url":"https://alion.io/job/civrobotics-physical-ai-engineer.json","meta":{"generated_at":"2026-10-08T00:22:28Z","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","counted_by":"address","units_charged":1,"used_today":391,"day_limit":5000,"remaining_today":4609,"minute_limit":60,"resets_at":"2026-10-09T00:00:00Z"}},"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":176544},"rest":"https://alion.io/mcp/rest/get_company?id=176544"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcivrobotics-physical-ai-engineer"},{"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%2Fcivrobotics-physical-ai-engineer"},{"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%2Fcivrobotics-physical-ai-engineer"},{"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/civrobotics-physical-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcivrobotics-physical-ai-engineer"}]}