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AI, GPU Cloud & Inference Engineering
This is a remote, Bay Area-based role. Since a portion of the engineering team is based in China, professional-level Mandarin proficiency is required. About the Company
Our client is a rapidly scaling GPU cloud service provider and AI inference platform, delivering high-performance, scalable infrastructure tailored to the demands of machine learning, AI, and HPC workloads. Their mission is to democratize access to GPU compute power, enabling innovators to deploy and scale large models with speed and efficiency. Position
Chief Technology Officer (CTO) Reports To
CEO Core Mission
The CTO will be responsible for building a world-class, global engineering team, defining engineering principles and technical direction, and driving the development and deployment of core products such as AI cloud infrastructure, inference platforms, AI agents, and agentic workflows. This role will also serve as a public-facing technology leader, representing the organization to clients, partners, and the broader market. Key Responsibilities
Technology Strategy & Roadmap
Define the technical vision and ensure alignment with overall business strategy. Lead decision-making on core technologies, architecture, and infrastructure. Engineering Leadership
Build, scale, and lead global engineering teams. Establish high standards of engineering excellence and foster a collaborative culture. Product Development
Oversee the planning, design, and development of AI-driven products and platforms. Ensure timely delivery of scalable, reliable, and secure solutions. Innovation & Research
Stay ahead of industry trends in large models, AI infrastructure, and AI-native SaaS. Drive innovation initiatives, collaborations, and partnerships with academic and industry stakeholders. Talent Acquisition & Development
Recruit, retain, and develop top-tier engineering talent. Build a culture that attracts and motivates world-class engineers. Cross-Functional Collaboration
Partner closely with Sales, Marketing, and Operations teams to align technical capabilities with market needs and customer success. External Representation
Represent the organization in conferences, client meetings, and public forums. Act as a thought leader, strengthening the company’s brand in the AI ecosystem. Core Competencies
Strong foundation in AI, Inference and Cloud Computing. Deep understanding of LLM, AI infrastructure and Cloud-Native SaaS trends. Proven ability to manage cross-boarder teams. Geographic & Cultural Requirements
Flexible location, with the ability to manage across global time zones. Ideally bilingual (Mandarin + English). Deep cultural awareness to bridge communication between international Sales/Marketing and Engineering teams.
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This is a remote, Bay Area-based role. Since a portion of the engineering team is based in China, professional-level Mandarin proficiency is required. About the Company
Our client is a rapidly scaling GPU cloud service provider and AI inference platform, delivering high-performance, scalable infrastructure tailored to the demands of machine learning, AI, and HPC workloads. Their mission is to democratize access to GPU compute power, enabling innovators to deploy and scale large models with speed and efficiency. Position
Chief Technology Officer (CTO) Reports To
CEO Core Mission
The CTO will be responsible for building a world-class, global engineering team, defining engineering principles and technical direction, and driving the development and deployment of core products such as AI cloud infrastructure, inference platforms, AI agents, and agentic workflows. This role will also serve as a public-facing technology leader, representing the organization to clients, partners, and the broader market. Key Responsibilities
Technology Strategy & Roadmap
Define the technical vision and ensure alignment with overall business strategy. Lead decision-making on core technologies, architecture, and infrastructure. Engineering Leadership
Build, scale, and lead global engineering teams. Establish high standards of engineering excellence and foster a collaborative culture. Product Development
Oversee the planning, design, and development of AI-driven products and platforms. Ensure timely delivery of scalable, reliable, and secure solutions. Innovation & Research
Stay ahead of industry trends in large models, AI infrastructure, and AI-native SaaS. Drive innovation initiatives, collaborations, and partnerships with academic and industry stakeholders. Talent Acquisition & Development
Recruit, retain, and develop top-tier engineering talent. Build a culture that attracts and motivates world-class engineers. Cross-Functional Collaboration
Partner closely with Sales, Marketing, and Operations teams to align technical capabilities with market needs and customer success. External Representation
Represent the organization in conferences, client meetings, and public forums. Act as a thought leader, strengthening the company’s brand in the AI ecosystem. Core Competencies
Strong foundation in AI, Inference and Cloud Computing. Deep understanding of LLM, AI infrastructure and Cloud-Native SaaS trends. Proven ability to manage cross-boarder teams. Geographic & Cultural Requirements
Flexible location, with the ability to manage across global time zones. Ideally bilingual (Mandarin + English). Deep cultural awareness to bridge communication between international Sales/Marketing and Engineering teams.
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