Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine industries by 2026. We're seeking visionary Quantum Computing Researchers to architect next-gen algorithms and solve previously unsolvable computational challenges. Collaborate with Nobel laureates in our state-of-the-art facility at the heart of Silicon Valley, where your work will directly shape the future of artificial intelligence, cryptography, and materials science.
As part of our elite Quantum Innovation Division, you'll access unprecedented resources including our 512-qubit 'Aurora' supercomputer and collaborate with Fortune 500 partners in finance, healthcare, and defense. This isn't just research—it's about creating the computational foundation for humanity's next technological revolution.
Responsibilities
- Design and implement novel quantum algorithms for optimization, machine learning, and simulation
- Lead cross-functional R&D projects to overcome quantum decoherence and error correction challenges
- Develop proprietary quantum software frameworks compatible with next-gen hardware
- Collaborate with hardware teams to co-design quantum processors for specific use cases
- Publish breakthrough research in top-tier journals and present at premier conferences
- Secure intellectual property through strategic patent development
- Mentor junior researchers and foster a culture of quantum innovation
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years of quantum research
- Proven expertise in quantum algorithm design (QAOA, VQE, QML)
- Deep understanding of quantum error correction codes and fault-tolerant architectures
- Published research in Nature/Science or equivalent tier journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Experience with superconducting or trapped-ion quantum systems
- Strong background in high-performance computing and parallelization
- Exceptional problem-solving skills for NP-hard computational challenges