Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next era of computational power. We're seeking a visionary Quantum Computing Architect to design and implement revolutionary systems that will redefine industries by 2026. This role offers the rare opportunity to shape humanity's digital future in an environment where innovation isn't just encouraged—it's our DNA.
As a cornerstone of our Quantum Division, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into practical applications. Your work will directly impact fields from drug discovery to climate modeling, solving challenges once deemed impossible. If you're driven by the thrill of building tomorrow's technology today, this is your calling.
Responsibilities
- Design scalable quantum computing architectures leveraging qubit entanglement and error correction protocols
- Develop hybrid quantum-classical algorithms for enterprise-level optimization problems
- Lead cross-functional teams of physicists, engineers, and data scientists in quantum system integration
- Research and implement next-generation quantum materials and cryogenic control systems
- Create quantum-resistant cybersecurity frameworks for client applications
- Present architectural blueprints to C-suite executives and government innovation boards
- Maintain compliance with NIST quantum security standards and international tech regulations
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 8+ years industry experience
- Proven track record in building production-level quantum systems (IBM, Rigetti, or IonQ experience preferred)
- Expertise in quantum programming languages (Qiskit, Cirq, or Quipper) and circuit optimization
- Deep understanding of quantum error correction codes and fault-tolerant architectures
- Published research in top-tier quantum computing journals or conferences
- Experience securing $10M+ in R&D funding for quantum initiatives
- Strong background in machine learning applied to quantum simulation problems