Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine computational capabilities. You'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility with unlimited resources for experimentation. This role offers unparalleled opportunities to shape the next generation of quantum-resistant cryptography and machine learning frameworks.
Our culture combines Silicon Valley's relentless innovation with Cambridge's academic rigor. You'll receive equity, flexible work arrangements, and a $10k annual learning stipend. Benefits include comprehensive health coverage, 20 weeks paid parental leave, and quarterly offsite retreats at our global research campuses.
Responsibilities
- Design and implement novel quantum algorithms for optimization and simulation problems
- Lead cross-functional teams in developing quantum-resistant cryptographic protocols
- Publish groundbreaking research in top-tier journals and present at IEEE Quantum Week
- Collaborate with hardware teams to co-design quantum processors and error correction systems
- Mentor junior researchers and establish quantum computing curricula for industry partners
- Secure $5M+ in government and private research funding
- Drive commercialization of quantum technologies through patent development
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in Nature/Science or equivalent tier journals
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency with high-performance computing environments and GPU acceleration
- Demonstrated ability to secure federal research grants (NSF, DOE, DARPA)
- Experience mentoring postdoctoral researchers and leading technical teams