Senior Software Engineer, AI Infra
Ambient.aiSF Bay AreaPosted 21 February 2026
Job Description
Build a safer world with us, one incident at a time.Ambient.ai is a unified, AI-powered physical security platform helping the world’s leading enterprises reduce risk, improve operational efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies, along with multiple Fortune 500 organizations, rely on Ambient.ai to modernize their physical security infrastructure.Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they occur.Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to make every security incident preventable.Ready to learn more? Connect with us on LinkedIn and YouTubeAbout the role:Reporting to Raghu Nallamothu, you will design and build machine learning infrastructure to run state-of-the-art deep-learning models on many terabytes of video in real time. You will help build a data engine to collect training data and continuously train and evaluate Ambient.ai's computer vision models. Your work will be at the forefront of new developments in AI and computer vision. You will partner with our research scientists to deliver the latest AI advancements, including LLM and LVMs (large vision models), to our product and customers.What you'll do:You will be playing a pivotal role in building and maintaining cutting-edge machine-learning infrastructureDevelop a robust data engine for collecting training data, ensuring scalability and efficiency in continuous model training and evaluationCollaborate with research scientists to integrate state-of-the-art AI advancements, including LLMs and LVMs, into the company's computer vision modelsWhat you'll bring:4+ years of industry experienceBS/MS in Computer Science or related field with a strong programming backgroundStrong background in machine learning and deep learning. A background in computer vision is a strong plusProficient in designing and building scalable machine learning infrastructure, including experience with distributed systemsExpertise in programming languages, especially Python, and sound knowledge of software development best practicesExperience in designing and implementing data engines for collecting and managing training dataExperience with integrating advanced AI models, including LLMs, LVMs, and RAG, into production systems is a strong plusStrong collaboration and communication skills for effective teamwork with research scientists, product teams, and stakeholdersProactive problem-solving ability, a mindset for innovation, and adaptability to incorporate new technologies and methodologiesWhy join us:We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOneRegular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most role,s depending on customer demand)The latest tech and awesome swag delivered to your doorEnjoy a full range of opportunities to connect with your awesome co-workersWe love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist#LI-HybridAmbient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or ... (truncated, view full listing at source)
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