Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-generation quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape humanity's technological future while collaborating with Nobel Prize-winning physicists and world-class engineers in our state-of-the-art facility.
Our team operates at the intersection of theoretical physics and practical application, developing quantum algorithms that solve previously impossible problems in cryptography, materials science, and artificial intelligence. You'll lead groundbreaking research initiatives with access to our 256-qubit quantum processors and collaborate with industry giants across healthcare, finance, and aerospace sectors.
Responsibilities
- Design and implement quantum algorithms for complex optimization problems in emerging markets
- Lead cross-functional teams of physicists and software engineers in quantum hardware development
- Publish peer-reviewed research in top-tier quantum computing journals
- Develop patentable quantum encryption protocols for secure 2026-era communications
- Establish industry partnerships to commercialize quantum computing breakthroughs
- Mentor postdoctoral researchers in quantum error correction methodologies
- Secure federal and private funding for quantum computing initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 8+ years of quantum research experience
- Proven track record of publishing in Nature/Science journals or equivalent
- Expertise in quantum error correction, quantum annealing, and topological qubits
- Experience leading quantum computing projects with budgets exceeding $5M
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum supremacy benchmarks and scalability challenges
- Demonstrated ability to translate theoretical concepts into practical applications
- Strong background in machine learning integration with quantum systems