Job Description
Join Nexus Innovations 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 next-generation algorithms that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Silicon Valley lab, where breakthroughs become reality. Your work will directly impact sectors from healthcare to finance, solving previously unsolvable challenges through quantum supremacy.
We offer unparalleled resources including access to D-Wave and IBM quantum processors, unlimited R&D budget, and a culture where audacious ideas are celebrated. Our team operates at the intersection of theoretical physics and practical application, creating the computational backbone for 2026's digital infrastructure.
Responsibilities
- Design and implement quantum algorithms for complex optimization problems in machine learning and cryptography
- Develop error-correction protocols to achieve fault-tolerant quantum computation
- Collaborate with hardware teams to translate theoretical models into practical quantum circuits
- Lead cross-functional research initiatives in quantum machine learning and quantum simulation
- Publish groundbreaking research in Nature/Science journals and present at IEEE Quantum Week
- Secure $5M+ in quantum computing research grants through NIH and NSF proposals
- Mentor PhD candidates in quantum information science at our affiliated research institute
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science with 3+ years industry experience
- Published research in top-tier journals on quantum algorithms or quantum error correction
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit optimization
- Deep understanding of quantum entanglement and decoherence mitigation strategies
- Proven track record of translating theoretical concepts into experimental prototypes
- Familiarity with NISQ-era hardware constraints and hybrid quantum-classical approaches
- Strong background in linear algebra, group theory, and computational complexity