Job Description
Join QuantumLeap Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We seek an exceptional Quantum Computing Research Scientist to develop next-generation quantum algorithms and hardware prototypes in our state-of-the-art San Francisco facility. This role offers unparalleled opportunities to shape the future of computing while collaborating with Nobel laureates and industry pioneers.
Our team operates in a dynamic, cross-functional environment where your breakthroughs could accelerate drug discovery, optimize global logistics, or revolutionize artificial intelligence. We provide competitive compensation, unlimited professional development, and a comprehensive benefits package including equity options.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Collaborate with hardware engineers to develop scalable quantum processor architectures
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Publish findings in peer-reviewed journals and present at international conferences
- Secure external funding through government grants and industry partnerships
- Mentor junior researchers and foster a culture of scientific excellence
- Translate theoretical research into practical quantum computing solutions
Qualifications
- PhD in Physics, Computer Science, or related quantum field with 3+ years research experience
- Proven expertise in quantum programming languages (Q#, Qiskit, or Cirq)
- Strong background in quantum information theory and quantum algorithms
- Publication record in top-tier quantum computing journals (e.g., Nature Quantum)
- Experience with quantum hardware platforms (superconducting, trapped ions, or photonic)
- Demonstrated ability to secure research grants and manage project budgets
- Excellent communication skills for technical and non-technical audiences
- Passion for advancing quantum technologies toward commercial viability by 2026