Description

Kandou AI is revolutionizing the economics of AI infrastructure. Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that provides high bandwidth and ultra-low latency while significantly reducing power consumption. Our architecture signifies a fundamental change in the construction of next-generation AI hardware.

We are on the lookout for a Technical Advisor / Principal Architect to collaborate closely with the CTO on the conception, modeling, and development of innovative communication and interconnect technologies.

This is a unique opportunity for an engineer who thrives at the crossroads of theory, architecture, and silicon implementation — someone with a desire to influence the future of chip-to-chip, die-to-die, memory, and networking interconnects.

Missions

Collaborate with the CTO to create next-generation communication and interconnect architectures.

Investigate novel signaling, coding, equalization, and system-level techniques.

Construct models, simulations, and prototypes to validate architectural concepts.

Assess performance, power, latency, area, and manufacturability trade-offs.

Transform research into silicon-ready architectures and intellectual property.

Identify emerging technologies and opportunities for competitive differentiation.

Provide technical leadership and direction across research, architecture, and product teams.

Profil

Advanced degree in Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related field.

Strong understanding of digital communications and communication system fundamentals.

Proficient knowledge of information theory, coding, modulation, and signal processing.

Experience in constructing mathematical models, simulations, or prototypes.

Fluency in Python, MATLAB, C++, or similar environments.

Able to operate across various abstraction levels — from theory to architecture to implementation.

Strong analytical and problem-solving abilities; comfortable navigating unfamiliar domains.

Avantages

The successful candidate will possess the ability to fluidly navigate between mathematics, algorithms, architecture, and hardware. They should be willing to engage hands-on as needed, involving themselves in analysis, modeling, coding, simulation, debugging, or laboratory work to advance critical projects. Intellectual curiosity and thriving in open-ended technical challenges are key traits. Moreover, they should be capable of questioning assumptions and suggesting unconventional approaches when necessary. Understanding the necessity for elegant theory to culminate in manufacturable silicon is essential.