Student Research Intern — Semiconductor, Quantum & AI

Company Description AUMChip is developing a sovereign semiconductor architecture centered on a single deterministic core that powers quantum computing, AI, robotics, and space applications. Its core technology uses exact integer computation to deliver repeatable, verifiable workloads across CPU, GPU, FPGA, and ASIC, without relying on floating-point or device-specific dependencies. The company has advanced to a mature pre-silicon stage, completing RTL freeze and verification, extensive formal and randomized testing, logic-equivalence checks, gate-level simulation, synthesis, physical design, timing closure, DRC, and FPGA validation across multiple vendors. AUMChip’s architecture has been validated against quantum workloads, including real QPU-generated syndrome data, demonstrating its robustness for next-generation computing. Built in India and designed for global impact, AUMChip aims to create a reusable compute architecture and semiconductor IP platform that can serve multiple industries from one fundamental computational core.
Role Description The Student Research Intern — Semiconductor, Quantum & AI will contribute to research and development activities focused on deterministic compute architectures and their applications in quantum computing, AI, and advanced semiconductor design. Day-to-day tasks may include reviewing and summarizing technical literature, assisting in modeling and simulation of compute architectures, analyzing experimental and validation data, and supporting internal documentation of design decisions and research findings. The intern will collaborate with engineers and researchers on exploratory projects, help prepare technical reports or presentations, and participate in virtual discussions on architecture improvements and application use cases. This is an internship role and is fully remote, offering flexibility for students to work from their location while engaging with a globally oriented team.
Qualifications
Foundational knowledge in semiconductor design or digital systems (e.g., computer architecture, logic design, RTL concepts, FPGA basics).
Interest or coursework in quantum computing, AI/ML, or related advanced computing domains.
Experience with programming or scripting (such as Python, C/C++, or similar) for data analysis, simulation, or prototyping.
Ability to conduct structured technical research, analyze complex information, and synthesize clear summaries and documentation.
Strong analytical thinking, problem-solving skills, and attention to detail in experimental or simulation workflows.
Effective written and verbal communication skills, with the ability to collaborate in remote, cross-functional teams.
Currently enrolled in a Bachelor’s, Master’s, or PhD program in Electrical/Electronics Engineering, Computer Engineering, Physics, Computer Science, or a closely related field.
Familiarity with hardware description languages, formal verification concepts, or high-performance computing is a plus but not required.

Work arrangement
No