{"id":2316431,"url":"https://alion.io/job/laelaps-ai-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":4411363,"name":"Laelaps AI","domain":"laelaps.ai","url":"https://alion.io/company/laelaps-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":230000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":709},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"Python","optional":false},{"name":"Computer Vision","optional":true},{"name":"ROS2","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-05T12:32:43Z","employer_posted_date":"2026-09-05","last_verified_at":"2026-10-13T00:55:36Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"Our Mission\nAt Laelaps AI, we believe robotics is entering a transformative decade, much like the arrival of the internet. Advances in AI, cloud computing, and hardware are reshaping what autonomous systems can do. Our mission is to build the intelligent software that powers physical security in the real world - enabling robots and sensors to handle dangerous and critical tasks that humans shouldn't have to. By engineering the orchestration layer for intelligent security, we aim to create a world that is safer, more secure, and more resilient.\nWe're a strong founding team based in Zurich, backed by visionary investors and advisors. We are engineering the future of security today!\nThe Role\nAs a Forward Deployed Engineer, you own our customer deployments end to end. Our system runs on-prem at industrial facilities, critical infrastructure, and military sites, integrated with the cameras, networks, and robots already in place. You survey the site, plan the deployment, install and integrate the system, tune it to the site's conditions, and hand it over to operators who will rely on it daily.\nYou are also the technical face of Laelaps on site. You work with security operators to understand how they actually work and where the bottlenecks are, align with their leadership on what success looks like, and translate what you learn into configuration, code, and product priorities. Early deployments you run alongside the founders; over time you own sites and accounts independently.\nExpect roughly half your time at customer sites in Switzerland and Europe, and the rest in Zurich, turning field lessons into tooling and automation that make each deployment faster than the last. This is an engineering role with a customer in the room, not a support or services role.\nWhat You'll Work On\nDeployments end-to-end: site surveys, network and hardware planning, installation, camera and VMS integration, commissioning, validation, and handover.\n\nOn-prem infrastructure: install and manage our stack on edge hardware (NVIDIA DGX Spark, Jetson Thor class devices) inside customer networks, often air-gapped or heavily restricted.\n\nIntegrations: connect existing cameras, sensors, VMS platforms, and robots into one coordinated system, and write the glue code where no integration exists yet.\n\nSystem tuning: calibrate detection and tracking to each site's terrain, lighting, and threat profile until the system performs in the field as it does in the demo.\n\nPilots to production: make POCs succeed technically, because pilots that work become contracts.\n\nCustomer understanding: sit with operators, interview stakeholders from the control room to the leadership floor, and map the real problems and bottlenecks behind the stated requirements.\n\nCustomer trust: train operators, respond fast when something breaks, and be the engineer customers ask for by name.\n\nThe deployment playbook: turn every hard-won lesson into runbooks, tooling, and automation that compound.\n\nProduct feedback: bring real field signal back to the core engineering team and shape the roadmap with it.\n\nWho We're Looking For\nWe are looking for an engineer who runs toward the messy parts, with the EQ to match the IQ. You are as comfortable in a server room or on a windswept perimeter as you are in a terminal, and just as comfortable in a conversation. You can spend a shift with a security operator and earn enough trust that they tell you what actually goes wrong at 3 a.m., then brief a head of security or a site director in their language, not yours. You listen more than you pitch, you read the room, and you switch registers between the guard house and the boardroom without breaking stride. You debug across the whole stack without ceremony: is it the hardware, the network, the driver, the model, or the config? Above all, you take personal ownership of the outcome: the deployment works because you made it work, and the customer trusts us because you earned it.\nYour Background\n3+ years of relevant software, robotics, embedded systems, or systems integration experience.\n\nA Master’s degree in mechanical engineering, computer science, robotics, electrical engineering, or a related field, or equivalent practical experience.\n\nStrong Python and hands-on C++ experience. You can read, debug, and extend production code in both.\n\nExperience deploying and operating software on-prem or at the edge (Docker required; GPU inference experience a strong plus).\n\nExperience working with sensors and embedded systems, including device interfaces and communications protocols.\n\nHigh EQ and experience working directly with end users or customers: you can uncover needs, work across stakeholders, and communicate technical issues clearly.\n\nComposure in customer-facing technical sessions, including when systems fail and plans need to change.\n\nFluent German and good English. Our sites and their operators run in German; the team runs in English.\n\nWillingness to travel regularly to customer sites across Switzerland and Europe, with multi-day on-site stints.\n\nBased in or willing to relocate to Zurich.\n\nCitizenship of Switzerland, an EU/EFTA member state, or a NATO member state, and eligibility for security clearance where customer sites require it.\n\nA valid category B driving license.\n\nNice to Have\nReal networking competence: VLANs, firewalls, routing, VPNs, and debugging connectivity in networks you do not control.\n\nHands-on comfort with hardware: you have racked servers, flashed devices, crimped a cable, or built systems that touch the physical world. Checking cable connections at 2 a.m. at a client site is second nature while debugging an issue on a customer side.\n\nExperience with cameras, VMS platforms (Milestone, Genetec, or similar), ONVIF/RTSP, or the physical security industry.\n\nComputer vision or ML deployment experience, especially optimising inference on edge GPUs.\n\nRobotics experience: ROS2 and Rviz2, robot integration, or fleet operations.\n\nExperience in defence, government, or other regulated environments.\n\nFrench, Italian, or another European language.\n\nStartup experience, ideally somewhere you were handed a hard problem and a deadline instead of a spec.\n\nWhat We Offer\nOwnership: you are able to ship products and deliver project end-to-end.\n\nMission: autonomous security that keeps people and critical sites safe, including in defence.\n\nCareer path: a ground-floor seat with real runway. Prove your value and you will not have barriers to grow.\n\nTeam: work directly with PhD-level co-founders in AI, Robotics, and Physics, alongside a strong (and fun) founding team.\n\nCompensation: Competitive equity/salary package\n\nCulture: International founding team that is serious about building but does not take itself too seriously.","description_format":"text","description_chars":6745,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"Italian","level":"All levels","optional":true},{"language":"German","level":"Advanced (C1)","optional":false}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-12T04:46:30Z"}],"visa":[],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.703,"p_room":0.55,"age_days":36,"expected_fill_days":36,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/laelaps-ai-forward-deployed-engineer","json_url":"https://alion.io/job/laelaps-ai-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-13T01:35:27Z","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":2243,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":4411363},"rest":"https://alion.io/mcp/rest/get_company?id=4411363"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flaelaps-ai-forward-deployed-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%2Flaelaps-ai-forward-deployed-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%2Flaelaps-ai-forward-deployed-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/laelaps-ai-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flaelaps-ai-forward-deployed-engineer"}]}