Calix provides the cloud, software platforms, systems and services required for communications service providers to simplify their businesses, excite their subscribers and grow their value. Calix is seeking a highly skilled AI Ops Engineer to join our cutting-edge AI/ML team. In this role, you will be responsible for building, scaling, and maintaining the infrastructure that powers our machine learning and generative AI applications. You will work closely with data scientists, ML engineers, and software developers to ensure our ML/AI systems are robust, efficient, and production ready. This is a remote-based position that can be located anywhere in the United States or Canada. Key Responsibilities: Design, implement, and maintain scalable infrastructure for ML and GenAI applications Deploy, operate, and troubleshoot production generative AI services Build and optimize CI/CD pipelines for ML model deployment and serving Scale compute resources across CPU/GPU/TPU/NPU architectures to meet performance requirements Implement container orchestration with Kubernetes Architect and optimize cloud resources on GCP for ML training and inference Setup and maintain runtime frameworks and job management systems (Airflow, KubeFlow, MLflow) Establish monitoring, logging and alerting for systems observability Optimize system performance and resource utilization for cost efficiency Develop and enforce AIOps best practices across the organization Qualifications: Bachelor's degree in computer science, Information Technology, or a related field (or equivalent experience). 5+ years of overall software engineering experience 3+ years of focused experience in DevOps/AIOps or similar ML infrastructure roles Strong experience with Docker container services and Kubernetes orchestration Demonstrated expertise in cloud infrastructure management, preferably on GCP (AWS or Azure experience also valued) Proficiency with workflow management such as Airflow & Kubeflow Strong CI/CD expertise with experience implementing automated testing and deployment pipelines Experience with scaling distributed compute architectures utilizing various accelerators (CPU/GPU/TPU/NPU) Solid understanding of system performance optimization techniques Experience implementing comprehensive observability solutions for complex systems Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Proficient in at least two of the following: Shell Scripting, Python, Go, C/C++ Familiarity with ML frameworks such as PyTorch and ML platforms like SageMaker or Vertex AI Excellent problem-solving skills and ability to work independently Strong communication skills and ability to work effectively in cross-functional teams #LI-Remote Compensation will vary based on geographical location (see below) within the United States. Individual pay is determined by the candidate's location of residence and multiple factors, including job-related skills, experience, and education. For more information on our benefits click here. There are different ranges applied to specific locations. The average base pay range (or OTE range for sales) in the U.S. for the position is listed below. San Francisco Bay Area Only: 133,400.00 - 226,600.00 USD Annual All Other Locations: 116,000.00 - 197,000.00 USD Annual PLEASE NOTE: All emails from Calix will come from a '@calix.com' email address. Please verify and confirm any communication from Calix prior to disclosing any personal or financial information. If you receive a communication that you think may not be from Calix, please report it to us at talentandculture@calix.com. Calix delivers a broadband platform and managed services that enable our customers to improve life one community at a time. We’re at the forefront of a once in a generational change in the broadband industry. Join us as we innovate, help our customers reach their potential, and connect underserved communities with unrivaled digital experiences. This is the Calix mission - to enable CSPs of all sizes to Simplify. Innovate. Grow. To learn more, visit the Calix web site at www.calix.com To learn more about our international job opportunities, please visit our International Careers Page If you are a person with a disability needing assistance with the application process please: Email us at calix.interview@calix.com; or Call us at +1 (408) 514-3000. Calix is a Drug Free Workplace. You may access a copy of Calix Candidate Privacy Policy HERE and other Calix Privacy Policies HERE.
