Job Description
Join Nexus Innovations at the forefront of technological disruption as we pioneer quantum computing solutions for 2026 and beyond. We seek an elite Quantum Computing Research Lead to architect breakthrough systems that will redefine computational paradigms. This role offers unparalleled opportunities to shape the next generation of quantum technologies while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Austin research campus.
As a key member of our Future Technologies Division, you'll drive quantum algorithm development, error mitigation protocols, and hybrid quantum-classical frameworks. We provide competitive equity packages, unlimited R&D budget, and flexible work arrangements for top-tier talent. Your work will directly impact industries from pharmaceuticals to aerospace, accelerating humanity's transition to the quantum era.
Responsibilities
- Lead quantum algorithm development for real-world applications in cryptography, optimization, and machine learning
- Design and implement fault-tolerant quantum computing architectures targeting 100+ qubit systems
- Collaborate with hardware teams to co-design quantum processors and control systems
- Develop quantum error correction codes and mitigation strategies for near-term devices
- Publish breakthrough research in peer-reviewed journals and present at premier conferences
- Mentor a team of quantum physicists and software engineers
- Secure $5M+ in government and private quantum research funding
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Proven track record of publishing in Nature/Science or equivalent high-impact journals
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
- Deep understanding of quantum error correction, topological quantum computing, or quantum annealing
- Experience with superconducting qubits, trapped ions, or photonic quantum systems
- Demonstrated ability to lead cross-functional research teams and secure research grants
- Strong background in machine learning and classical-quantum hybrid algorithms