Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution as we pioneer quantum computing solutions for global sustainability challenges. Our interdisciplinary team is developing next-gen quantum algorithms to optimize renewable energy grids and climate modeling. This role offers unparalleled opportunity to shape humanity's technological future while working in our state-of-the-art San Francisco research facility.
Responsibilities
- Design and implement quantum algorithms for climate modeling simulations
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Lead research publications in top-tier quantum computing journals
- Develop scalable quantum machine learning frameworks for environmental data
- Mentor junior researchers and cross-functional project teams
- Secure federal research grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum error correction or fault tolerance
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra and quantum information theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Track record of securing research funding