Job Description
Are you ready to define the technological landscape of 2026?
OmniFuture Labs is pioneering the 'Post-Silicon Era,' developing next-generation computing architectures that will power the metaverse, global logistics, and advanced AI simulations. We are seeking a visionary 2026 Quantum Systems Architect to lead our R&D division in building fault-tolerant quantum processors and hybrid quantum-classical systems.
In this role, you will bridge the gap between theoretical physics and software engineering, ensuring our systems are scalable, secure, and ready for commercial deployment in the near future. Join us in shaping the computing paradigm of tomorrow.
Responsibilities
- Architect Fault-Tolerant Systems: Design and implement scalable quantum computing architectures capable of maintaining coherence in a noisy intermediate-scale quantum (NISQ) environment.
- Hybrid Integration: Develop seamless integration layers between quantum processors and classical cloud infrastructure to optimize computational efficiency.
- R&D Leadership: Lead a team of researchers and engineers in exploring novel qubit topologies and error correction codes.
- Prototyping: Build high-fidelity prototypes of quantum accelerators and experimental hardware interfaces.
- Performance Optimization: Analyze system bottlenecks and deploy algorithms to maximize qubit utilization rates.
- Technical Strategy: Define the long-term technical roadmap for OmniFuture Labs, aligning quantum capabilities with market demands.
Qualifications
- Education: PhD or Master’s degree in Physics, Computer Science, Electrical Engineering, or a related field with a focus on quantum mechanics.
- Experience: Minimum of 8 years of experience in systems architecture, with at least 3 years specifically in quantum computing or advanced hardware design.
- Technical Skills: Proficiency in programming languages such as Python, C++, and Qiskit or Cirq frameworks.
- Knowledge: Deep understanding of quantum algorithms, error correction, and semiconductor physics.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Adaptability: Demonstrated ability to thrive in fast-paced, high-stakes research environments.