Principal Software Engineer
2 weeks ago
Job Type: Permanent
Job Location: Ireland/Remote
Company Overview: Our client is a leading provider of enterprise open-source software solutions, leveraging a community-driven approach to deliver high-performance Linux, cloud, container, and Kubernetes technologies.
The Role: We are seeking a highly motivated individual to join our team as a Principal Software Engineer with OpenShift AI. As a key member of our team, you will lead the design and development of tools for next-generation Foundation Models and Large Language Models (LLMs).
Key Responsibilities:
- Lead Red Hat's engagement in machine learning upstream communities to ensure seamless integration with OpenShift and RHOAI.
- Architect and implement scalable open-source solutions enabling Data Scientists to utilize distributed computing on OpenShift for training Machine Learning models.
- Act as an MLOps Subject Matter Expert (SME) at Red Hat, engaging in customer discussions, technical conferences, and promoting OpenShift AI internally.
- Design and implement new features for open-source communities such as KubeRay, PyTorch, Katib, and KubeFlow.
- Provide technical leadership and vision on critical projects.
- Mentor and coach a distributed team of engineers.
- Present at conferences on OpenShift/Kubernetes and AI/ML technologies, both externally and within Red Hat's AI/ML communities.
Requirements:
- Active contributor in MLOps open-source projects like Ray/KubeRay, KubeFlow, PyTorch, Katib.
- Experience in training and tuning ML models using tools such as Ray, Kubeflow training operator, Katib, MLFlow, or similar technologies.
- Advanced proficiency with Kubernetes.
- Advanced skills in Go or Python for software development.
- Strong system understanding and troubleshooting abilities.
- Innovation mindset with a deep passion for technology.
- Technical leadership experience in a global team environment and proven mentorship capabilities.
- Commitment to writing and maintaining high-quality code.
- Excellent written and verbal communication skills in English.
Preferred Qualifications:
- Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field; master's or PhD is a plus.
- Experience in engineering, consulting, or related fields focusing on distributed model training or data processing for customer environments or supporting data science teams.
- Extensive expertise in OpenShift.
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