{"schemaVersion":"jobsearcher.job.v1","id":"d3418844c435bd8db6a112c6","url":"https://jobsearcher.com/jobs/d3418844c435bd8db6a112c6","canonicalUrl":"https://jobsearcher.com/jobs/d3418844c435bd8db6a112c6","title":"Sr Software Engineer, Video Intelligence","description":"Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.\n\nWe offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.\n\nMore information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.\n\nVivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.\n\nAbout This Role\n\nWe are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust. In this role, you will be responsible to:\n\nOwn VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings.\nImprove AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction.\nBuild and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video.\nPartner with AI, platform, product, and app teams to move models from research to production.\nDevelop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness.\nGuide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence.\n\nRequired Qualifications:\n\nBachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or\nMaster’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering\nExperience with LLMs, vision-language models, multimodal AI, or generative AI systems\nStrong Python software engineering skills\nExperience processing, analyzing, or serving video content at scale\nFamiliarity with event detection, summarization, semantic understanding, embeddings, or model evaluation\nExperience deploying AI services into production with Git and CI/CD workflows\n\nPreferred Qualifications:\n\nExperience generating natural-language descriptions, summaries, or searchable representations from video\nExperience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval\nExperience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI\nExperience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures\nExperience with Docker, Kubernetes, GCP/AWS, or production model monitoring\n\nThe base salary range for this position is: $150K to $185K* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.\n\n Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.\n\nNRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.\n\nEEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)\n\nOfficial description on file with Talent.","company":"Vivint","rawCompany":"vivint","city":"Enumclaw","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-01T09:48:43.212Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Software Engineer, Video Intelligence","description":"Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.\n\nWe offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.\n\nMore information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.\n\nVivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions through groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.\n\nAbout This Role\n\nWe are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust. In this role, you will be responsible to:\n\nOwn VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings.\nImprove AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction.\nBuild and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video.\nPartner with AI, platform, product, and app teams to move models from research to production.\nDevelop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness.\nGuide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence.\n\nRequired Qualifications:\n\nBachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or\nMaster’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering\nExperience with LLMs, vision-language models, multimodal AI, or generative AI systems\nStrong Python software engineering skills\nExperience processing, analyzing, or serving video content at scale\nFamiliarity with event detection, summarization, semantic understanding, embeddings, or model evaluation\nExperience deploying AI services into production with Git and CI/CD workflows\n\nPreferred Qualifications:\n\nExperience generating natural-language descriptions, summaries, or searchable representations from video\nExperience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval\nExperience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI\nExperience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures\nExperience with Docker, Kubernetes, GCP/AWS, or production model monitoring\n\nThe base salary range for this position is: $150K to $185K* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.\n\n Position requires in-office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work from home day on Friday. The position will start remote and then will move into the hybrid schedule.\n\nNRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.\n\nEEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)\n\nOfficial description on file with Talent.","datePosted":"2026-09-01T09:48:43.212Z","dateModified":"2026-09-01T09:48:43.212Z","hiringOrganization":{"@type":"Organization","name":"Vivint","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Enumclaw","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d3418844c435bd8db6a112c6"},"url":"https://jobsearcher.com/jobs/d3418844c435bd8db6a112c6"}}