{"id":1326061,"url":"https://alion.io/job/pragmatike-embedded-systems-cloud-engineer","title":"Embedded Systems & Cloud Engineer","company":{"id":8591,"name":"Pragmatike","domain":"pragmatike.com","url":"https://alion.io/company/pragmatike","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Busan, South Korea","Seongnam, South Korea","Seoul, South Korea","Daejeon, South Korea"],"countries":["KR"],"hiring_countries":["KR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":150000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":536},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"C++","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"RTOS","optional":false},{"name":"GDPR","optional":true},{"name":"Sensor Fusion","optional":true}],"status":"live","first_seen_at":"2026-09-27T02:21:29Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-09-29T00:33:54Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Location: Remote-First, South Korea (Seoul, Pangyo, Busan, Daejeon)\nEmployment: Full-Time\nStart Date: ASAP\nExperience: 4+ years\nLanguage: Fluent English required, Korean or Mandarin is a strong plus\nIndustry: Robotics / Physical AI / IoT\nAbout the Opportunity\nPragmatike is recruiting on behalf of an early-stage, venture-backed Physical AI company building the data layer that robots need to operate in the real world.\nMost robot training data today is vision-only. But grasping, inserting and handling objects depends on contact, force and slip, which cameras cannot see. Our client captures synchronized vision and touch data from real human work, using low-cost wearable sensing devices and cameras, and turns it into high-fidelity datasets used to train and evaluate robot manipulation models.\nThis is a hands-on engineering role. You will own the full technical chain that makes data collection work in the field: from the firmware running on the sensing devices to the cloud pipelines that ingest, store and process the data at scale. You will work remotely as the technical owner of deployments in your region, collaborating closely with hardware, ML and data teams.\nWhat You'll Do\nFirmware: Design, develop and maintain firmware for wearable sensing devices (microcontrollers, sensor integration, real-time data acquisition).\n\nDevice-to-cloud: Build reliable communication and data streaming between devices and cloud services for synchronized vision and tactile data.\n\nCloud infrastructure: Design and operate the AWS stack (EC2, S3, Lambda, IoT Core) handling large-scale collection, storage and processing of multimodal data, with a focus on scalability, security and performance.\n\nData pipelines: Develop APIs, ingestion services and data pipelines in Python for high-throughput, reliable processing.\n\nFleet & deployments: Remotely deploy, monitor and maintain the device fleet and capture setups used at real-world collection sites, and turn field issues into engineering fixes. Occasional travel to sites may be required.\n\nFull-stack debugging: Troubleshoot issues across the whole chain, from device firmware to cloud deployment.\n\nCollaboration: Work with hardware, ML and data teams to define system requirements, and contribute to testing, documentation and continuous improvement of the data collection infrastructure.\n\nWhat We're Looking For\n4+ years of engineering experience across embedded systems and cloud.\n\nStrong embedded and firmware skills: C/C++, RTOS, microcontrollers, real-time systems, sensor integration, low-level programming.\n\nHands-on AWS experience: EC2, S3, Lambda, IoT Core, and data pipelines built for high throughput and reliability.\n\nSolid software engineering in Python or similar: APIs, data streaming services, hardware-to-cloud integration.\n\nGood grasp of networking, security best practices, performance optimization, monitoring and logging.\n\nStrong debugging skills across hardware, firmware and cloud layers, and comfort in fast-paced, experimental environments.\n\nStrong ownership and the ability to work independently in a remote-first, distributed environment.\n\nBachelor's degree or higher in Electrical Engineering, Computer Engineering, Computer Science or a related field, or equivalent practical experience.\n\nFluent English. Korean or Mandarin is a strong plus.\n\nNice to Have\nExperience with robotics, tactile or force sensing, wearables or IoT devices.\n\nExperience building real-world data collection systems (sensor fusion, time synchronization, multi-camera capture).\n\nExposure to ML data pipelines or datasets for robot learning.\n\nExperience deploying and supporting hardware in the field, including remote device management.\n\nWhy Join\nJoin a very early team at the core of Physical AI, one of the fastest-growing fields in tech.\n\nOwn a critical system end to end, from device firmware to cloud.\n\nYour work directly shapes the datasets used to train next-generation robot manipulation models.\n\nHigh ownership, fast iteration and real-world impact from day one.\n\nPragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.\nIn accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.","description_format":"text","description_chars":4510,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Korean","level":"All levels","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"South Korea","iso":"KR","kind":"country"},{"name":"Seoul","iso":null,"kind":"city"},{"name":"Busan","iso":null,"kind":"city"},{"name":"Daejeon","iso":null,"kind":"city"},{"name":"Seongnam","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Electrical & Electronic Engineering"],"lifecycle":[{"event":"open","at":"2026-09-27T03:24:17Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":1,"expected_fill_days":41,"reasons":["conf:1","agency","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pragmatike-embedded-systems-cloud-engineer","json_url":"https://alion.io/job/pragmatike-embedded-systems-cloud-engineer.json","meta":{"generated_at":"2026-09-29T00:39:47Z","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":492,"day_limit":5000,"remaining_today":4508,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}