Job Description
Join QuantumLeap 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 architectures that will redefine computational capabilities. This role offers unparalleled opportunity to shape the future of quantum technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco research facility.
Our team operates at the intersection of physics, computer science, and innovation, pushing the boundaries of quantum supremacy. You'll lead groundbreaking research projects with access to cutting-edge quantum hardware and collaborate with global partners in academia and industry. If you're passionate about solving humanity's most complex problems through quantum innovation, this is your chance to make history.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Lead experimental validation of quantum circuits on superconducting and photonic platforms
- Develop error correction protocols to achieve fault-tolerant quantum computation
- Collaborate with hardware teams to co-design quantum processors for 2026-era applications
- Publish breakthrough research in top-tier journals and present at international conferences
- Mentor junior researchers and lead cross-functional innovation sprints
- Secure patents and intellectual property for quantum methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years research experience
- Expertise in quantum algorithm design (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published record in quantum information science or high-impact physics journals
- Deep understanding of quantum error correction and fault tolerance
- Experience with superconducting qubit manipulation and readout
- Strong background in linear algebra, probability theory, and computational complexity
- Track record of securing research funding or industry partnerships