Analog Hardware Architect
VectorWave
Full-Time EmploymentAbout the Company/Team
VectorWave Corporation is a venture-backed startup building the first-ever analog AI hardware accelerator developed specifically for wireless communications, launched from the research from the MIT Quantum Photonics + AI Group. This endeavor entails cross-disciplinary collaboration between wireless engineering, signal processing, applied physics, and machine learning. This is a unique opportunity to combine your technical expertise with your creativity to realize designs for a completely new type of wireless processor. We are building a team of engineers who are excited to transform the future of 5G and 6G! The salary range for all roles is $120k-$200k depending on experience, seniority, and skillsets. We offer competitive compensation including equity, bonuses, and market leading medical, dental, and vision benefits. This position entails hybrid in-person/remote work in the Boston/Cambridge area. While a physical presence in the Boston area is preferred, we are open to discussing potential fully-remote positions.
About the Role
The analog hardware architect role is an opportunity to use your expertise working with large-scale analog circuitry to devise your own architectures and designs using the building blocks of our analog AI hardware accelerator. You will work closely with the RF engineers to enable completely new wireless capabilities and explore the hardware limits of practical signal processing and machine learning for wireless communications. You will also design the supporting subsystems that perform dynamic characterization and stabilization of deployed analog hardware.
Required skills: • Published experimental demonstrations of any scalable analog circuitry (e.g. AI hardware accelerators, photonic integrated circuits, quantum hardware) • Mathematical maturity and mastery of the physics in one’s expertise in analog computing • Experience developing physically accurate digital twins to validate hardware designs through math and simulation • Mastery of designing and implementing methods of analog system characterization • Experience implementing hardware stabilization techniques (e.g. thermal drifting) Preferred / Learn-on-the-job skills: • Experience using RF signal processing devices & components + PCB design • In-situ/physics-aware/back propagation-free machine learning for AI hardware accelerators • Understanding of RF signal processing techniques
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