Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of computational paradigms. We seek visionary Quantum Computing Research Scientists to architect breakthrough solutions that will redefine industries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources to explore quantum algorithms, error correction, and scalable quantum systems. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets real-world application.
This role represents a unique opportunity to shape humanity's technological trajectory while working alongside the brightest minds in quantum mechanics, machine learning, and materials science. Your research will directly impact quantum supremacy initiatives, cryptography breakthroughs, and next-generation computing architectures.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Develop error correction protocols and fault-tolerant quantum computing architectures
- Lead experimental validation of quantum systems using superconducting qubits and photonic processors
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish groundbreaking research in peer-reviewed journals and present at international conferences
- Secure external funding through NSF and DARPA grants for quantum research initiatives
- Mentor junior researchers and contribute to quantum computing education programs
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep expertise in quantum error correction and fault-tolerant architectures
- Publication record in top-tier quantum computing or physics journals
- Proficiency with quantum hardware platforms (IBM Quantum Experience, Rigetti Forest)
- Strong background in machine learning and high-performance computing
- Experience securing federal research grants and managing research budgets
- Demonstrated ability to translate theoretical concepts into practical implementations