Job Description
Shape the future at Innovate Quantum Labs, where we're pioneering the quantum revolution. We're seeking a visionary Quantum Computing Research Scientist to join our elite 2026 cohort and develop breakthrough technologies that will redefine computing as we know it.
As a key member of our R&D division, you'll work in a state-of-the-art facility alongside Nobel laureates and industry pioneers. You'll tackle complex challenges in quantum algorithms, error correction, and machine learning integration, with direct access to our 512-qubit quantum processors. This role offers unparalleled opportunities to publish groundbreaking research and contribute to technologies that will impact everything from drug discovery to climate modeling.
We offer competitive compensation, equity, flexible schedules, and comprehensive benefits including relocation assistance for top talent. Join us in building the quantum future.
Responsibilities
- Design and implement novel quantum algorithms for practical applications
- Lead research in quantum error correction and fault-tolerant systems
- Develop machine learning models optimized for quantum processors
- Collaborate with hardware engineers to optimize quantum-coherent systems
- Publish 2+ peer-reviewed papers annually in top-tier journals
- Present research findings at international quantum computing conferences
- Secure external funding through NSF and DARPA grants
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing research experience
- Expertise in quantum circuit design and quantum algorithm development
- Proficiency in Python, Qiskit, and quantum simulation frameworks
- Published record in Nature/Science or equivalent high-impact journals
- Deep understanding of quantum decoherence and error correction techniques
- Experience with quantum machine learning and hybrid quantum-classical systems
- Strong track record of securing research funding