Job Description
Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine technology in 2026 and beyond. Collaborate with Nobel laureates and cutting-edge engineers to solve humanity's most complex challenges—from climate modeling to drug discovery. Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation, including next-gen cryogenic systems and AI-powered simulation platforms.
This role is perfect for innovators who thrive at the intersection of physics, computer science, and practical application. You'll shape the future of quantum algorithms while mentoring the next generation of quantum pioneers. We offer competitive equity packages, flexible hybrid work, and exclusive access to our annual Quantum Future Summit.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead experimental quantum computing projects using superconducting qubit architectures
- Develop error correction protocols to achieve fault-tolerant quantum computation
- Collaborate with cross-functional teams to integrate quantum solutions into real-world systems
- Publish breakthrough research in top-tier journals and present at industry conferences
- Mentor junior researchers and contribute to our quantum education initiatives
- Secure external funding through NSF and DoE grant applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing research with superconducting or ion-trap systems
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical simulation tools
- Strong publication record in quantum information science or related domains
- Demonstrated experience with low-temperature experimental setups and quantum control systems
- Expertise in quantum error correction and fault-tolerant architectures
- Ability to translate theoretical concepts into practical experimental implementations