Full Time Openings for Process, Integration, and Device Jobs, in Kepler Computing - Maukerja

Company Description Kepler Computing focuses on advancing memory and logic technologies specifically designed for AI applications. The company is dedicated to building high-performance, energy-efficient solutions that enable next-generation artificial intelligence workloads. By integrating cutting-edge semiconductor design with advanced process technologies, Kepler Computing aims to deliver scalable and reliable AI hardware platforms. Team members have the opportunity to work on foundational technologies that power modern AI systems and influence future computing architectures.

Role Description This is a full-time, on-site role based in Singapore for a Semiconductor Process / Integration / Device professional. The role involves developing, optimizing, and characterizing semiconductor process flows for memory and logic devices targeted at AI applications. Day-to-day responsibilities include designing and executing experiments, analyzing electrical and process data, collaborating with cross-functional teams (device, integration, design, and manufacturing), and implementing process improvements to enhance yield, reliability, and performance. The role also includes documenting technical findings, preparing reports and presentations, supporting technology transfer to manufacturing, and working closely with equipment and materials vendors to resolve issues and enable new capabilities.

Qualifications

• Candidates should possess strong Analytical Skills to interpret process, device, and reliability data and drive data-informed decisions.
• Candidates should possess Business Process Improvement capabilities to refine fabrication workflows, enhance yield, and optimize production efficiency.
• Candidates should possess effective Communication skills to collaborate with multidisciplinary teams and clearly present technical findings.
• Candidates should possess Customer Service orientation to understand internal and external stakeholder requirements and support technology deployment.
• Candidates should possess Training skills to mentor team members, share best practices, and contribute to process and device knowledge transfer.
• Advanced knowledge of semiconductor device physics, CMOS logic, and memory technologies (e.g., DRAM, SRAM, emerging NVM) is highly beneficial.
• Experience with semiconductor fabrication, process integration (front-end and/or back-end), and failure analysis in a cleanroom environment is preferred.
• Proficiency with data analysis tools (e.g., Python, MATLAB, JMP) and familiarity with TCAD or device simulation tools is an advantage.
• Bachelor’s, Master’s, or PhD in Electrical Engineering, Materials Science, Physics, or a related discipline, or equivalent practical experience.
• Ability to work on-site in Singapore, collaborate across functions, and adapt to a fast-paced, innovation-driven environment.