At
Classiq Technologies, we’re shaping the future of quantum computing.
Our mission is to make quantum computing practical and impactful by bridging the gap between hardware and real-world applications. Our platform enables developers and enterprises to design, optimize, and deploy quantum algorithms at scale, supporting teams from early exploration to production-ready quantum solutions across diverse hardware architectures.
Classiq is trusted by Fortune 500 leaders and global governments. We accelerate the quantum era by transforming advanced quantum theory into scalable, usable technology.
We’re seeking a
Quantum Error Correction Researcher to join our
Hardware Solutions team, a specialized team within the Product organization. This team develops product-ready solutions that help advance quantum hardware into the fault-tolerant era, translating quantum error correction research into capabilities that can be delivered to customers and integrated into Classiq’s R&D and product stack.
This role is ideal for a hands-on research engineer who enjoys working end-to-end from understanding theory, through implementation, to customer-facing.
Responsibilities:
- Research, design, and implement fault-tolerance and quantum error correction solutions aligned with real quantum hardware constraints
- Translate theoretical concepts into practical, product-ready algorithms, tools, and software components
- Develop high-quality, maintainable code (primarily in Python) that can be delivered to R&D and integrated into the Classiq platform
- Work independently from problem definition through validated implementation and handoff
- Collaborate closely with product managers, R&D teams, and algorithm developers to ensure solutions meet product and customer needs
- Engage with customers and hardware partners to understand requirements and align solutions with real-world use cases
- Contribute to shaping Classiq’s fault-tolerance roadmap and long-term product strategy
Requirements:
- PhD in Physics, Computer Science, Electrical Engineering, or a related field
- Strong background with hands-on experience in quantum computing, preferably in quantum error correction
- Proven ability to independently bridge theory and practice, from research concepts to working software
- Solid software development experience, preferably in Python
- Strong problem-solving skills and a product-oriented mindset
- Excellent communication skills and the ability to collaborate across teams and with customers
Advantages
- Deep knowledge of quantum error-correcting codes (e.g., surface codes, stabilizer codes, bosonic codes)
- Experience with quantum software frameworks and simulators (e.g., Classiq, Qiskit, Cirq, Stim, PennyLane)
- Prior work on logical qubits, decoding algorithms, or fault-tolerant protocols
- Experience working closely with quantum hardware teams or external partners
- Publications or applied research experience in quantum computing or quantum error correction