{"id":92383,"url":"https://alion.io/job/skydio-autonomy-engineer-deep-learning-infrastructure","title":"Autonomy Engineer - Deep Learning Infrastructure","company":{"id":6786,"name":"Skydio","domain":"skydio.com","url":"https://alion.io/company/skydio","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":25,"ghost_share":0,"stale_share":0.72,"repost_share":0,"time_to_fill_p50_days":78,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":298000,"period":"year","method":"role_country_seniority_unknown","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-05-27T18:56:18Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-18T13:13:37Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":143},"description":"Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.\nAbout the role:\nLearning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.\nAs a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio’s Deep Learning (DL) and AI efforts. You will be working at the nexus of Skydio’s autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.\nHow you’ll make an impact:\nDevelop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms\n\nProfile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads\n\nDesign and implement end to end MLOps workflows for model deployment, monitoring, and re-training\n\nUtilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance\n\nCreate new methods for improving training efficiency\n\nImplement GPU kernels for custom architectures and optimized inference\n\nDesign and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)\n\nLeverage your expertise and best-practices to uphold and improve Skydio’s engineering standards\n\nWhat makes you a good fit:\nDemonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment\n\nStrong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures\n\nStrong fundamentals in CV, image processing, and video processing\n\nDemonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment, and monitoring\n\nExperience and understanding of security and compliance requirements in ML infrastructure\n\nExperience with ML frameworks and libraries\n\nYou have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring\n\nYou are comfortable navigating and delivering within a complex codebase\n\nStrong communication skills and the ability to collaborate effectively at all levels of technical depth\n\nAt Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.\nFor positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. 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