Quantum Machines is a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.

Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.

At the heart of QM is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.

We are looking for a highly experienced a hands-on Algo Engineer who embodies ambition and positivity.

Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Requirements:

Responsibilities:

Develop QM's compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Design and implement signal-based algorithms leveraging techniques from digital signal processing (DSP), estimation theory etc.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

Requirements:

At least 3 years of hands-on programming experience – must.
BSc. in Computer Science, Computer Engineering, Mathematics, or any relevant scientific field (advanced degrees are an advantage) -must.
Prior experience in algorithm development – advantage.
Experience working in a multidisciplinary environment - advantage.
A motivated and resourceful problem solver with a passion for tackling complex technical challenges, especially in hardware-oriented environments.