AI β’ Machine Learning β’ IoT β’ Custom Enterprise AI Solutions β’ ML Model Creation
4 days ago
πΊπΈ United States β Remote
π΅ $150k - $180k / year
β° Full Time
π΄ Lead
π§βπ» Full-stack Engineer
AI β’ Machine Learning β’ IoT β’ Custom Enterprise AI Solutions β’ ML Model Creation
β’ We are seeking a Principal Software Engineer to lead the development of an end-to-end publishing pipeline for Computer Vision applications. β’ This role will be pivotal in building and maintaining the platform that allows models and filters to be securely and efficiently deployed. β’ You will own the development of the SDK, publishing pipeline, update and deployment processes, runtime, and necessary tooling to enable developers to ship with high quality. β’ Collaborate closely with cross-functional teams to ensure our solution is scalable, secure, and aligned with customer and partner needs. β’ A unique opportunity to own the full lifecycle of publishing Computer Vision applications, from SDK development to deployment at scale on the customer edge.
β’ 8+ years in software engineering, with a strong background in cloud infrastructure, distributed systems, and security. β’ Proficient in one or more of languages like C/C++/C#/Go/Java. β’ Deep understanding and hands-on experience in CI/CD pipelines, containerization (Docker), and automated testing frameworks. β’ Proven experience designing and developing SDKs and APIs for third-party developers. β’ Experience in building secure systems, particularly around artifact management, deployment, and customer ecosystem availability. β’ Strong experience with cloud platforms (AWS, Azure, GCP) and artifact repositories (e.g., Artifactory, Docker Hub). β’ Experience working with edge deployment environments, including the unique challenges of working in decentralized, resource-constrained systems. β’ Familiarity with infrastructure-as-code (IaC) tools like Terraform or CloudFormation, as well as knowledge of deployment strategies (e.g., canary, blue-green).
β’ Competitive salary and equity options. β’ Flexible work arrangements (remote or in-office). β’ Opportunity to work in a fast-paced, dynamic environment with cutting-edge technology. β’ Direct impact on product development and customer satisfaction. β’ Growth opportunities as we scale our team and platform.
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