Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware architectures that will redefine computational capabilities. This role offers unparalleled opportunities to shape the future of AI, cryptography, and complex system modeling while collaborating with Nobel laureates and industry pioneers.
Our state-of-the-art quantum research facility in San Francisco provides an environment where theoretical innovation meets practical application. You'll lead cross-disciplinary teams tackling challenges in quantum error correction, qubit stability, and hybrid quantum-classical systems. If you're passionate about solving humanity's most complex problems through quantum mechanics, this is your chance to accelerate the next technological paradigm shift.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research initiatives in quantum error correction and fault-tolerant architectures
- Collaborate with hardware teams to develop qubit control systems and measurement protocols
- Develop hybrid quantum-classical frameworks for enterprise-scale applications
- Author peer-reviewed publications and patent disclosures for breakthrough innovations
- Mentor junior researchers and drive quantum literacy across organizational functions
- Secure and manage research partnerships with leading quantum computing institutions
Qualifications
- PhD in Physics, Computer Science, or Quantum Information Science with 3+ years of research experience
- Proven expertise in quantum algorithms, quantum gates, and quantum circuit design
- Publication record in top-tier journals (Nature, Science, Physical Review X) or major conferences
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Deep understanding of quantum decoherence and error correction methodologies
- Experience with superconducting, trapped-ion, or photonic quantum systems
- Strong background in machine learning, optimization theory, or computational physics
- Demonstrated ability to secure research funding through grants and industry partnerships