At ASI we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture construction landscaping and logistics we deliver technologies that enhance safety productivity and efficiency. With our core values of Simplicity Safety Transparency Humility Attention to Detail and Growth guiding everything we do were shaping the future of automation in dynamic markets. As an AI Infrastructure Engineer IV you will play a critical role in designing building and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute storage and cloud environments are scalable efficient and tuned for high-performance AI workloads. Working closely with data scientists robotics engineers and software teams youll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems. Responsibilities Design build and maintain high-performance computing infrastructure including CPUs GPUs storage and networking to support AI and ML workloads. Deploy and manage AI systems within cloud environments AWS Azure GCP ensuring scalability cost-efficiency and high availability. Collaborate with data scientists ML engineers and software teams to support AI model development training and deployment workflows. Implement automation CICD DevOps and MLOps practices to create efficient repeatable and reliable AI infrastructure processes. Optimize compute and storage systems to achieve maximum performance and throughput for AIML pipelines. Monitor system health and troubleshoot performance bottlenecks infrastructure issues and deployment challenges. Required Qualifications Bachelors degree in Computer Science Computer Engineering or a related technical field. 10 years of experience in cloud infrastructure DevOps or platform engineering with an emphasis on AIML systems. Strong understanding of modern AI infrastructure components including distributed computing GPU-accelerated systems and large-scale storage. Hands-on experience with cloud platforms such as AWS Azure or Google Cloud. Proficiency with Kubernetes Docker Terraform or similar containerization and orchestration tools. Strong programming skills in Python andor C with experience supporting machine learning frameworks TensorFlow PyTorch etc.. Experience implementing CICD pipelines MLOps practices and automation tooling. At Autonomous Solutions Inc. ASI we are committed to fostering a diverse inclusive and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race color religion sex national origin age disability genetic information veteran status sexual orientation gender identity or any other legally protected characteristic. ASI complies with all applicable federal state and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.