Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the next frontier of computational technology. As a Quantum Computing Research Lead, you'll architect breakthrough solutions for 2026's most critical challenges—from climate modeling to drug discovery. Our Austin-based R&D hub offers unparalleled resources, including access to 128-qubit processors and a collaborative ecosystem of Nobel laureates and industry disruptors. We offer competitive equity packages, flexible remote work options, and dedicated research budgets to transform your visionary ideas into reality.
This role combines deep technical expertise with strategic vision. You'll lead a cross-functional team of physicists, engineers, and data scientists while publishing cutting-edge research in top-tier journals. If you're driven to solve problems once thought impossible, apply today to shape the computational landscape of tomorrow.
Responsibilities
- Architect and execute quantum computing research roadmap for 2026 commercial applications
- Lead development of novel quantum algorithms targeting optimization, cryptography, and machine learning
- Collaborate with hardware team to co-design next-generation quantum processors
- Publish 3+ peer-reviewed papers annually in Nature/Science/IEEE journals
- Secure $1M+ in annual research grants from NSF/DARPA/industry partners
- Mentor 5+ researchers through quantum computing bootcamps and workshops
- Develop quantum SDKs for enterprise clients across finance, healthcare, and logistics
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Proven track record of publishing quantum computing research in top-tier journals
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and error correction codes
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Experience securing government research grants ($500K+ projects)
- Demonstrated leadership in managing cross-disciplinary technical teams
- Deep understanding of NISQ-era limitations and fault-tolerant architecture designs