Job Description
Shape the future of technology at Nexus Quantum Labs, where we're pioneering breakthroughs that will define 2026 and beyond. As a Quantum Computing Research Scientist, you'll collaborate with world-class innovators to solve humanity's most complex challenges using next-generation quantum systems. Our San Francisco headquarters offers state-of-the-art facilities and an environment where your quantum algorithms can become reality.
We're seeking visionary minds who thrive at the intersection of physics, computer science, and mathematics. This isn't just research—it's the foundation of tomorrow's computational revolution. Join us to develop error-corrected qubits, design fault-tolerant architectures, and create quantum solutions that will transform industries from healthcare to finance.
Responsibilities
- Design and implement novel quantum algorithms for complex optimization and simulation problems
- Develop error correction protocols and fault-tolerant quantum computing architectures
- Lead cross-functional projects integrating quantum hardware with classical computing systems
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to quantum computing open-source initiatives
- Collaborate with industry partners to translate theoretical advances into practical applications
- Stay at the forefront of quantum information theory and emerging quantum technologies
Qualifications
- PhD in Quantum Physics, Computer Science, Mathematics, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development and qubit manipulation experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Strong background in quantum error correction and fault-tolerant quantum computing
- Proven track record of published research in quantum computing or quantum information theory
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to collaborate effectively in multidisciplinary research teams