{"id":9701,"url":"https://alion.io/job/skild-senior-robot-infrastructure-engineer","title":"Senior Robot Infrastructure Engineer","company":{"id":3377,"name":"Skild AI","domain":"skild.ai","url":"https://alion.io/company/skild","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":73,"open_postings":48,"ghost_share":0.375,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":161,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"GCP","optional":true},{"name":"gRPC","optional":true},{"name":"MQTT","optional":true},{"name":"Self-Healing","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-05-16T01:55:22Z","employer_posted_date":"2026-05-18","last_verified_at":"2026-10-25T14:51:36Z","board_verified":true,"closed_at":null,"days_open":162,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":162},"description":"Company Overview\nAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.\nPosition Overview\nWe are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.\nResponsibilities\nDesign, implement, and maintain production-grade C++ and Go running directly on robotic platforms.\nBuild on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.\nArchitect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.\nDesign, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.\nBuild telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.\nOptimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints.\nCollaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure.\nContinuously improve fleet reliability, observability, uptime across both device and cloud systems.\nPreferred Qualifications\n3+ years of relevant industry experience.\nStrong production programming experience in C++ and Go.\nPrior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.\nExperience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.\nDeep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.\nDemonstrated experience building or managing OTA update systems for edge devices or deployed fleets.\nStrong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.\nExperience building fleet observability systems, including telemetry, metrics, logging, alerting, monitoring, and uptime tracking.\nStrong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems.\nExperience with OS-level OTA infrastructure or full-device update mechanisms\nBase Salary Range\n$100,000—$300,000 USD","description_format":"text","description_chars":3553,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Robotic Software & Control Systems","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-05-16T01:55:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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