CTO

1 week ago

Singapore NUPA LAB PTE. LTD. Full time

**Key Responsibilities**:

- **Strategic Leadership**: Define and implement the company’s technology roadmap, emphasizing RDMA, PCIe, and CXL integration to support advanced computing and real-time data processing.
- **Innovation and R&D**: Lead research and development initiatives to design scalable RDMA, GPU, and CXL solutions, enhancing performance in areas such as AI, machine learning, and big data analytics.
- **Cross-Functional Collaboration**: Work closely with Product, Engineering, and Operations teams to drive RDMA, PCIe, and GPU initiatives from conception to deployment, ensuring alignment with business goals.
- **Architecture and Design**: Oversee the architecture and design of high-performance computing platforms, ensuring optimal use of RDMA for low-latency, high-throughput data transfer, CXL for data coherency and expansion, and GPU resources for accelerated processing.
- **Team Leadership**: Build, mentor, and lead a high-performing technology team, fostering a culture of innovation, collaboration, and excellence.
- **Technology Evangelism**: Represent the company at industry conferences and events, sharing insights on RDMA, PCIe, CXL, and GPU advancements to establish the company as a thought leader.

**Requirements**:
**Technical Expertise**:

- Extensive experience with RDMA (Remote Direct Memory Access) technology, PCIe, and CXL in high-performance computing environments.
- Proficiency in C++, CUDA, OpenCL, and other relevant programming languages and frameworks for GPU-based solutions.
- Familiarity with InfiniBand, RoCE (RDMA over Converged Ethernet) protocols, and experience with deploying RDMA in data center or cloud environments.
- Knowledge of networking technologies, with hands-on experience in integrating RDMA and GPU technology within complex networks.

**Leadership and Management**:

- Proven experience in a senior leadership role, ideally as a CTO or VP of Engineering in a technology-driven organization.
- Strong track record of building and leading technical teams, with a focus on innovation and delivering results.
- Excellent project management skills with the ability to manage multiple complex projects simultaneously.

**Educational Background**:

- Ph.D. or with more than ten years experienced is required.
- Advanced certifications or training in GPU programming, RDMA protocols, or high-performance computing is advantageous.

**Additional Skills**:

- Strong communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Knowledge of high-performance computing frameworks and libraries such as MPI (Message Passing Interface) and HPC clusters.
- Passion for emerging technologies and a demonstrated interest in advancing the field of high-performance computing.

**Preferred Qualifications**:

- Prior experience working with AI and machine learning models that leverage GPU acceleration.
- Familiarity with cloud-based GPU services and RDMA-enabled cloud solutions.
- Active contributor to open-source projects related to RDMA, CXL, or GPU computing.

**Benefits**:

- Competitive salary and stock options
- Comprehensive healthcare benefits
- Flexible work hours and remote work opportunities
- Opportunities for professional development and learning

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