Job Description
Join QuantumLeap Technologies at the forefront of technological revolution as a Quantum Computing Research Scientist in San Francisco. We're pioneering breakthroughs in quantum algorithms, error correction, and practical applications that will redefine computing by 2026. As part of our elite R&D team, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from drug discovery to climate modeling. Our state-of-the-art lab in downtown SF offers unparalleled resources, including access to IBM Quantum and D-Wave systems, plus competitive benefits and equity packages.
Why QuantumLeap? We're not just building technology; we're building the future. With 15+ patents filed in quantum AI and partnerships with NASA and MIT, our work directly impacts global innovation. We foster a culture of intellectual curiosity where your ideas could shape the next technological paradigm shift.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to achieve fault-tolerant quantum systems
- Lead cross-functional projects with hardware and software teams to integrate quantum-classical hybrid systems
- Publish breakthrough research in top-tier journals (Nature, Science) and present at conferences like IEEE Quantum Week
- Secure and manage $2M+ in NSF/DARPA grants for quantum computing initiatives
- Mentor PhD candidates and interns in quantum information theory
- Collaborate with government agencies on quantum security standards for 2026 infrastructure
Qualifications
- PhD in Physics, Computer Science, or Electrical Engineering with quantum computing specialization
- 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum algorithms or quantum error correction (top-tier journals)
- Expertise in quantum hardware architecture (superconducting qubits, trapped ions, photonics)
- Proficiency in high-performance computing and parallel processing frameworks
- Strong track record of securing government or industry research grants
- Deep understanding of quantum information theory and quantum complexity classes
- Experience with quantum machine learning frameworks (PennyLane, TensorFlow Quantum)