Job Description
Join QuantumLeap Labs at the forefront of quantum computing innovation. We're pioneering the technologies that will define the 2026 digital landscape, and we need visionary researchers to lead the charge. This role offers unparalleled opportunities to shape the future of computational science while working with state-of-the-art quantum systems and collaborating with Nobel Prize-winning physicists. Our startup culture combines Silicon Valley agility with academic rigor, offering competitive compensation, equity packages, and the chance to patent groundbreaking discoveries.
Located in our San Francisco headquarters, you'll work in a dedicated quantum lab with access to D-Wave and IBM quantum processors. We provide comprehensive relocation packages for top talent worldwide and offer flexible hybrid work arrangements. Our benefits include 100% health insurance coverage, unlimited PTO, and professional development funds for conference attendance and advanced certifications.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead research initiatives in quantum error correction and fault-tolerant computing systems
- Develop quantum software frameworks compatible with emerging hardware architectures
- Collaborate with hardware engineering teams to translate theoretical models into practical implementations
- Author peer-reviewed publications and present findings at top-tier conferences (QIP, APS March Meeting)
- Secure external funding through NSF and DARPA grants
- Mentor junior researchers and lead cross-functional quantum computing workshops
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years post-doctoral research
- Published work in quantum algorithms or quantum information theory in Nature/Science/Physical Review journals
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical high-performance computing
- Experience with quantum hardware platforms (superconducting qubits, trapped ions, photonics)
- Strong background in machine learning and classical optimization techniques
- Demonstrated ability to secure competitive research funding
- Excellent communication skills for technical and non-technical audiences