Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates, access state-of-the-art quantum hardware, and contribute to breakthroughs in cryptography, AI optimization, and materials science. Our San Francisco hub provides an inspiring environment with flexible hybrid work arrangements, comprehensive benefits, and dedicated R&D funding.
Why Nexus Future Labs? We're not just building technology—we're creating the foundation for humanity's next quantum leap. Our team has already achieved 3 breakthroughs in quantum error correction, and we're now scaling to commercialize these innovations.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead research on quantum error correction techniques to improve qubit stability
- Collaborate with hardware teams to co-design quantum processors and control systems
- Publish findings in top-tier journals (Nature, Science, Physical Review X)
- Secure federal and private research grants to fund experimental projects
- Mentor junior researchers and cross-functional engineering teams
- Develop quantum machine learning frameworks for real-world applications
Qualifications
- PhD in Physics, Computer Science, or related field with quantum focus
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, Q#)
- Expertise in quantum information theory and many-body physics
- Proven track record of peer-reviewed publications in quantum computing
- Strong background in linear algebra and complex analysis
- Experience with superconducting or trapped-ion quantum systems
- Ability to translate theoretical models into experimental implementations
- Excellent communication skills for technical and non-technical audiences