Job Description
Step into the future with QuantumLeap Dynamics, where quantum computing meets real-world innovation. As we pioneer the next technological revolution in 2026, we seek a visionary Quantum Computing Research Scientist to decode the mysteries of quantum mechanics and transform theoretical possibilities into tangible breakthroughs. Join our elite team at the forefront of quantum supremacy research, collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab. This isn't just a job—it's your chance to shape humanity's digital future.
You'll leverage our $50M quantum infrastructure to develop error-corrected algorithms, optimize quantum neural networks, and solve previously unsolvable computational challenges. With competitive equity packages and unlimited R&D resources, we empower you to push beyond conventional limits and redefine what's possible in quantum information science.
Responsibilities
- Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
- Lead fault-tolerant quantum computing experiments using superconducting and photonic platforms
- Develop quantum error correction protocols to achieve 99.9% fidelity in qubit operations
- Collaborate with AI teams to hybridize quantum-classical computing architectures
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Secure $2M+ in quantum research grants through DOE and NSF proposals
- Mentor postdoctoral researchers and drive open-source quantum software initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit optimization
- Published research in quantum error correction or topological quantum computing
- Proficiency in tensor network simulations and quantum circuit verification tools
- Experience with cryogenic quantum hardware and control systems
- Track record of securing federal quantum research grants
- Strong background in machine learning frameworks (PyTorch/TensorFlow) for hybrid models
- Excellent written communication for technical documentation and grant proposals