About Lucky Robots

Lucky Robots is building the future of general-purpose robotics and AI, making intelligent automation accessible to everyone. Our focus is on real-world, scalable AI deployments, bridging the gap between simulation and real-world robotics. We’re looking for a Senior CI/CD & MLOps Engineer to help us automate, optimize, and scale our AI model deployments, including LLMs and robotics-focused machine learning models.

Location: Remote / [Austin, TX Preferred]

Role & Responsibilities

• Design, implement, and maintain CI/CD pipelines for deploying AI models, including LLMs and robotic perception models.

• Automate infrastructure provisioning using Terraform for scalable deployments.

• Manage containerized deployments with Docker and Kubernetes across Linux and Windows environments.

• Optimize GPU-based model inference and training pipelines for efficiency and performance.

• Implement monitoring, logging, and alerting systems to ensure reliability and observability.

• Work with ML engineers to streamline data preprocessing, feature engineering, and retraining workflows.

• Improve model governance, reproducibility, and rollback strategies for production AI deployments.

Requirements

• 3+ years of experience in CI/CD or Infrastructure Engineering.

• Proven experience deploying LLMs and machine learning models in production.

• Strong expertise in Terraform for infrastructure automation.

• Proficiency in Python and Go for scripting and automation.

• Hands-on experience with Docker, Kubernetes, and cloud-native deployments.

• Experience managing Linux and Windows-based environments.

• Familiarity with monitoring tools (e.g., Prometheus, Grafana, Datadog) and logging frameworks.

Bonus Points

• Experience optimizing robotics-focused AI models for real-time execution.

• Familiarity with cloud providers (AWS, GCP, Azure) and hybrid cloud setups.

• Experience with data pipeline automation, feature stores, and ML observability.

Why Join Lucky Robots?

• Be part of a team shaping the future of AI-driven robotics.

• Work on cutting-edge AI infrastructure in a high-impact environment.

• Competitive salary, equity options, and benefits.

• Remote-friendly culture focused on innovation and fast execution.

If you’re ready to build the backbone of AI & robotics deployments, apply now!