{"schemaVersion":"jobsearcher.job.v1","id":"0abd21bd63a9f0a2b76e9753","url":"https://jobsearcher.com/jobs/0abd21bd63a9f0a2b76e9753","canonicalUrl":"https://jobsearcher.com/jobs/0abd21bd63a9f0a2b76e9753","title":"Systems Engineer","description":"About the role\r\nIf 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.\r\nHow you'll make an impact\r\nDevelop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms.\r\nProfile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and optimization opportunities and improve power efficiency of deep learning inference workloads.\r\nDesign and implement end-to-end MLOps workflows for model deployment, monitoring and re-training.\r\nUtilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance.\r\nCreate new methods for improving training efficiency.\r\nImplement GPU kernels for custom architectures and optimized inference.\r\nDesign and implement SDKs that allow customers/external developers to create autonomous workflows using ML.\r\nLeverage your expertise and best-practices to uphold and improve Skydio's engineering standards.\r\nWhat makes you a good fit\r\nDemonstrated hands-on experience with MLOps, ML inference optimization and edge deployment.\r\nStrong knowledge of DL fundamentals, techniques and state-of-the-art DL models/architectures.\r\nStrong fundamentals in CV, image processing and video processing.\r\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.\r\nExperience and understanding of security and compliance requirements in ML infrastructure.\r\nExperience with ML frameworks and libraries.\r\nYou have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring.\r\nYou are comfortable navigating and delivering within a complex codebase.\r\nStrong communication skills and the ability to collaborate effectively at all levels of technical depth.\r\nCompensation\r\nAt Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 – 236,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: paid vacation time, sick leave, holiday pay and 401(k) savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the company's policies and eligibility criteria.\r\n\r\nCompensation for certain positions may vary based on the position's location.\r\n\r\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.\r\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.\r\nFor positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/\r\nJ-18808-Ljbffr","company":"Skydio","rawCompany":"skydio","city":"San Mateo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:30:09.171Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Systems Engineer","description":"About the role\r\nIf 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.\r\nHow you'll make an impact\r\nDevelop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms.\r\nProfile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and optimization opportunities and improve power efficiency of deep learning inference workloads.\r\nDesign and implement end-to-end MLOps workflows for model deployment, monitoring and re-training.\r\nUtilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance.\r\nCreate new methods for improving training efficiency.\r\nImplement GPU kernels for custom architectures and optimized inference.\r\nDesign and implement SDKs that allow customers/external developers to create autonomous workflows using ML.\r\nLeverage your expertise and best-practices to uphold and improve Skydio's engineering standards.\r\nWhat makes you a good fit\r\nDemonstrated hands-on experience with MLOps, ML inference optimization and edge deployment.\r\nStrong knowledge of DL fundamentals, techniques and state-of-the-art DL models/architectures.\r\nStrong fundamentals in CV, image processing and video processing.\r\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.\r\nExperience and understanding of security and compliance requirements in ML infrastructure.\r\nExperience with ML frameworks and libraries.\r\nYou have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring.\r\nYou are comfortable navigating and delivering within a complex codebase.\r\nStrong communication skills and the ability to collaborate effectively at all levels of technical depth.\r\nCompensation\r\nAt Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 – 236,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: paid vacation time, sick leave, holiday pay and 401(k) savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the company's policies and eligibility criteria.\r\n\r\nCompensation for certain positions may vary based on the position's location.\r\n\r\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.\r\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.\r\nFor positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:30:09.171Z","dateModified":"2026-08-08T01:30:09.171Z","hiringOrganization":{"@type":"Organization","name":"Skydio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0abd21bd63a9f0a2b76e9753"},"url":"https://jobsearcher.com/jobs/0abd21bd63a9f0a2b76e9753"}}