Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to architect the next generation of computational paradigms that will redefine industries. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum systems, design novel algorithms, and solve previously intractable problems in cryptography, materials science, and AI optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources including 128-qubit quantum processors and a dedicated ethics sandbox for responsible innovation.
We offer competitive compensation, flexible hybrid work arrangements, comprehensive benefits including equity in our unicorn valuation, and continuous learning stipends. Our team operates on a 4-day work week with dedicated innovation Fridays, allowing you to explore moonshot projects that could shape humanity's technological trajectory.
Responsibilities
- Design and implement fault-tolerant quantum algorithms for complex optimization problems
- Lead research in topological quantum computing and error correction methodologies
- Collaborate with hardware teams to co-design quantum processors with 100+ qubit stability
- Develop hybrid quantum-classical frameworks for enterprise applications
- Author peer-reviewed publications and secure patents in quantum computing
- Mentor junior researchers and publish breakthrough findings in Nature/Science
- Advise on quantum security protocols for 2026-era infrastructure
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Published research in top-tier journals on quantum algorithms or error correction
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum decoherence and fault-tolerance techniques
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in linear algebra, complex analysis, and information theory
- Proven ability to secure government or corporate research grants
- Expertise in quantum machine learning and variational algorithms