Job Description
Join Nexus Quantum 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 next-generation quantum algorithms and hardware prototypes that will redefine computational capabilities. This role offers unparalleled opportunities to shape the future of technology in a collaborative, cutting-edge environment.
You'll work alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, with resources dedicated to solving humanity's most complex challenges. Our team operates at the intersection of physics, computer science, and innovation, with a mission to achieve quantum supremacy by 2026.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error-corrected quantum systems using superconducting qubits and photonic processors
- Collaborate with hardware engineers to optimize quantum circuit performance on physical devices
- Publish groundbreaking research in top-tier journals and present at international quantum computing conferences
- Lead cross-functional teams in translating theoretical models into scalable quantum solutions
- Identify and mitigate quantum security vulnerabilities for 2026-era cryptographic systems
- Secure research partnerships with leading academic institutions and government agencies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in quantum computing or quantum information science
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in linear algebra, quantum mechanics, and complexity theory
- Experience with cryogenic quantum systems or photonic quantum processors
- Proven ability to secure competitive research grants and funding
- Deep understanding of NISQ-era limitations and fault-tolerant roadmaps