ABOUT US

Logiqal is on a mission to build the first scaled quantum computer, deploying millions of qubits to tackle the world’s most important problems. Our thesis is that you have to build a full scale machine to learn what the actual hard parts are, just like you have to build a full scale rocket before the first launch. We’re looking for a few visionary scientists and engineers to join our team, to move fast and blow stuff up.
Based in Princeton, NJ our founding physics team has decades of combined research experience at leading academic and industry labs including Princeton, Harvard, Yale, MIT and Google Quantum. Our approach is based on neutral atom qubit technology developed in research labs at Princeton by the founding team. Our scalable systems are composed of manufacturable sub-modules, controlled by state-of-the-art CMOS optoelectronics, and designed around a unique computer architecture.
We’re assembling a founding engineering team to help us build the full-stack systems that will power this next leap in computing.
We offer competitive compensation (salary commensurate with experience, meaningful equity, medical/dental benefits), and the chance to shape both the technology and the company from the ground up.
If you’re excited to build something that’s never existed before at the cutting edge of physics and engineering—together with an awesome team with deep technical expertise—come build with us!

We are looking for a firmware developer to design and implement low-latency control and signal processing for our quantum computers. Operations on the quantum computer are implemented using RF pulses that require sub-nanosecond synchronization across dozens of channels. The overall execution speed of the quantum computer relies on low-latency waveform generation and adaptive execution based on real-time measurement information, on microsecond timescales.
You’ll start by working with researchers to define an overall architecture, drawing inspiration from related open source projects. Then you’ll implement a minimal prototype and iteratively refine it on real quantum hardware, integrating with the back-end stack to collect and store data and analytics. Your solution will need to scale with the quantum hardware, and will ultimately span thousands of tightly synchronized I/O channels distributed across hundreds of boards.
Experience with digital signal processing on FPGAs is essential. Experience with Xilinx RFSoC platforms is preferred. No knowledge of quantum physics is required (though we’re happy to teach you)