Job Description
Join QuantumLeap Inc. at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms, optimize quantum systems, and solve complex computational challenges that will redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaboration opportunities with Nobel laureates and industry pioneers.
This role requires deep expertise in quantum mechanics, algorithm design, and high-performance computing. You'll work on next-generation quantum processors, error correction protocols, and hybrid quantum-classical systems. We offer competitive compensation, equity packages, and flexible work arrangements to support your innovative journey.
Responsibilities
- Design and implement quantum algorithms for optimization, simulation, and machine learning applications
- Develop error correction techniques to enhance quantum system stability and scalability
- Collaborate with hardware teams to co-design quantum processors and control systems
- Lead research on quantum-classical hybrid computing architectures
- Publish findings in top-tier journals and present at international conferences
- Secure and manage research grants from government and private institutions
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Physics, Computer Science, Mathematics, or related field with quantum focus
- 3+ years of experience in quantum algorithm development or quantum system engineering
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in linear algebra, probability theory, and computational complexity
- Publication record in quantum computing or theoretical physics
- Experience with high-performance computing frameworks (HPC, GPU acceleration)
- Demonstrated ability to secure research funding or industry partnerships
- Excellent communication skills for technical and non-technical audiences