{"id":166506,"url":"https://alion.io/job/stryker-staff-engineer-software","title":"Staff Engineer, Software","company":{"id":2579,"name":"Stryker","domain":"stryker.com","url":"https://alion.io/company/stryker","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":167,"ghost_share":0,"stale_share":0.611,"repost_share":0.018,"time_to_fill_p50_days":24,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"gRPC","optional":false},{"name":"Hilt","optional":false},{"name":"Jetpack Compose","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kotlin","optional":false},{"name":"Kotlin Coroutines","optional":false},{"name":"LiteRT","optional":false},{"name":"Model Distillation","optional":false},{"name":"MQTT","optional":false},{"name":"MVVM","optional":false},{"name":"Offline-First","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Rest API","optional":false},{"name":"Room","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"WebSockets","optional":false},{"name":"Wi-Fi","optional":false},{"name":"WorkManager","optional":false},{"name":"YOLO","optional":false},{"name":"Edge AI","optional":true},{"name":"MediaPipe","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-06-29T00:00:00Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-16T22:18:00Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Work Flexibility: Hybrid or OnsiteJob Description:\nWe are seeking an experienced engineer who brings two distinct skill sets: AI/ML (Computer Vision) - owning the training, testing, and tuning of vision-based models for live camera-feed monitoring; and Native Android Development - developing and shipping a production Android app that talks to our cloud. You will partner with the deployment team to align models with their scaling/runtime constraints, work with the maintenance team to maintain and upgrade models.\nKey Responsibilities\nDesign, train, evaluate, and tune computer vision models (detection, classification, segmentation, tracking) for live video and multi-camera use cases, including dataset curation, training/validation/testing pipelines, and rigorous benchmarking on accuracy, latency, and throughput.\n\nOptimize models (architecture, quantization, pruning, distillation) to meet deployment and scaling constraints provided by the deployment team; re-tune or re-architect when those constraints change.\n\nPartner with the operations team to maintain and upgrade models in production - triage regressions, refresh on new data, address drift, and ship improved versions.\n\nDesign, build, and ship a native Android application (Kotlin, Jetpack Compose, MVVM/Clean Architecture, Hilt, Coroutines/Flow, Room, WorkManager) that interacts with our cloud backend.\n\nBuild secure cloud integration: REST/gRPC, OAuth2/JWT, TLS, FCM push, and offline-first sync; handle Android runtime permissions and background execution correctly.\n\nSet up Android CI, testing (unit + instrumentation), crash reporting, and Play Store release pipelines.\n\nRequired Qualifications\n5+ years of total professional software engineering experience.\n\nProven experience in vision-based model training and testing, with models shipped to production.\n\nHands-on experience with cloud-based AI training/experimentation infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML, or equivalent).\n\nExperience building models for continuous monitoring via live video input from cameras and tuning them for efficient inference across multiple concurrent camera streams.\n\nTrack record of collaborating with deployment/MLOps/operations teams - translating runtime constraints into model decisions and supporting models post-launch.\n\nProficiency in Python and ML frameworks (PyTorch, TensorFlow, TensorFlow Lite, ONNX); strong grasp of CNNs and modern detection/tracking architectures (YOLO, DETR, ByteTrack, etc.).\n\nStrong proficiency in Kotlin and the modern Android stack (Jetpack, Compose, Coroutines/Flow, Hilt, Room, WorkManager); demonstrated experience shipping production Android apps to the Play Store.\n\nDeep working knowledge of Android Wi-Fi and BLE APIs.\n\nExperience with cloud connectivity on Android (REST, gRPC, WebSockets, or MQTT; OAuth2/JWT; TLS; FCM) and Android’s security/permissions model (runtime permissions, foreground services, background execution limits).\n\nComfort interfacing with embedded/IoT hardware over BLE and WiFi under real-world conditions (intermittent connectivity, retries, power constraints).\n\n Preferred Qualifications\nOn-device inference acceleration (Android NNAPI, Qualcomm SNPE, MediaPipe, GPU delegates).\n\nStreaming protocols (RTSP, WebRTC, HLS) and video codecs; edge / IoT camera deployments.\n\nModel monitoring, drift detection, and active learning loops.\n\nContributions to open-source ML or Android projects.\n\nEducation\nBachelor’s or Master’s degree in Computer Science, AI/ML, or related field - or equivalent practical experience.\n\nmeasurement bias\nStrong product mindset and bias for measurement - you instrument, benchmark, and optimize.\n\nExcellent collaboration skills with deployment and operations teams, and a maintenance mindset toward models in production.\n\nAbility to switch effectively between two distinct domains (ML model development and Android app development) and deliver in both.\n\nTravel Percentage: 10%","description_format":"text","description_chars":3940,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Surgical Instruments & Devices","Orthopedic & Spine Implants","Hospital Equipment & Furniture"],"lifecycle":[{"event":"open","at":"2026-06-29T00:00:00Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.379,"p_room":0.28,"age_days":109,"expected_fill_days":24,"reasons":["conf:4","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/stryker-staff-engineer-software","json_url":"https://alion.io/job/stryker-staff-engineer-software.json","meta":{"generated_at":"2026-10-16T22:43:04Z","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":4316,"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":2579},"rest":"https://alion.io/mcp/rest/get_company?id=2579"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstryker-staff-engineer-software"},{"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%2Fstryker-staff-engineer-software"},{"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%2Fstryker-staff-engineer-software"},{"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/stryker-staff-engineer-software\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstryker-staff-engineer-software"}]}