Job Description
Join the forefront of technological revolution at Nexus Quantum Labs as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Engineer to develop next-gen algorithms and hardware prototypes that will redefine computational capabilities. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, pushing the boundaries of quantum supremacy, error correction, and practical quantum applications.
Our team operates at the intersection of physics, computer science, and material engineering, creating breakthroughs that will solve previously impossible problems in cryptography, drug discovery, and climate modeling. This is your chance to shape the technological landscape of the next decade while working with cutting-edge quantum processors, cryogenic systems, and proprietary simulation platforms.
Responsibilities
- Design and implement quantum algorithms for NISQ-era and fault-tolerant quantum processors
- Develop novel quantum error correction codes and mitigation strategies
- Collaborate on quantum hardware-software co-design projects with engineering teams
- Lead research initiatives in quantum machine learning and optimization applications
- Author high-impact research papers and patent novel quantum methodologies
- Mentor junior researchers and contribute to quantum education initiatives
- Partner with industry leaders to identify and solve real-world quantum computing challenges
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Strong background in quantum information theory and quantum error correction
- Experience with high-performance computing and parallel processing architectures
- Published research in peer-reviewed quantum computing journals or conferences
- Deep understanding of quantum hardware constraints and optimization techniques
- Demonstrated ability to translate theoretical concepts into practical implementations