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We are seeking a driven and skilled Solution Architect to lead the delivery and support of our clients and partners taking into use cutting-edge GPU orchestration solutions for AI and machine learning workloads in Kubernetes environments. In this role, you will define and drive product delivery and support activities for open-source tooling that bridges infrastructure and AI frameworks. You’ll work closely with engineering, design, and customers to ensure our SW products are successfully taken into use. You will be part of a core team shaping the future of cloud-native AI infrastructure, enabling efficient GPU utilization, fair scheduling, and seamless integration with modern ML frameworks.
Job Responsibility:
Help to define product delivery and support vision, strategy and activities
Collaborate with engineering to prioritize activities and ensure timely, high-quality support for users
Engage with users and stakeholders to gather feedback, create requirements, and drive new features
Translate technical usage problems into clear user guidelines and tutorials
Champion usability and developer experience across CLI tools, APIs, and interfaces
Contribute to open-source community engagement and documentation efforts
Requirements:
Proven experience in product delivery and support for developer tools, cloud infrastructure, or AI/ML platforms
Strong understanding of Kubernetes, GPU workloads, and AI
Ability to work cross-functionally with engineering, design, and product management teams
Excellent communication and stakeholder management skills
Experience with agile methodologies and product development lifecycle
Demonstrated success in technical SW product deliveries and support
Strong analytical and problem-solving skills
Passion for developer experience and infrastructure innovation
Initiative, ownership, and collaborative mindset
Bachelor’s or Master's degree in Computer Science, Engineering, or related field
Nice to have:
Background in ML/AI workflows, distributed training, or LLM infrastructure
Experience with open-source communities and contributions
Technical background in software engineering or systems architecture