Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen solutions that will redefine industries. This role combines deep technical expertise with strategic foresight to translate quantum theory into practical breakthroughs.
As a key member of our Future Technologies Division, you'll collaborate with Nobel laureates, industry disruptors, and government partners to develop quantum algorithms, optimize hardware-software interfaces, and secure our position as the global leader in quantum innovation.
Responsibilities
- Design and execute quantum computing research roadmaps aligned with 2026 technological inflection points
- Lead cross-functional teams in developing error-corrected qubit architectures and quantum machine learning frameworks
- Secure $10M+ in research funding through NSF, DARPA, and private sector partnerships
- Translate theoretical quantum advantage into commercial applications across finance, logistics, and healthcare
- Author peer-reviewed publications and white papers establishing Nexus Labs' quantum thought leadership
- Mentor PhD researchers and quantum software engineers in cutting-edge methodologies
- Interface with quantum hardware vendors to co-develop next-generation quantum processors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years of industry research
- Published 15+ papers in Nature/Science or IEEE journals on quantum algorithms or error correction
- Proven track record of securing federal quantum research grants (DARPA/NSF)
- Expertise in quantum programming languages (Qiskit, Cirq) and simulation frameworks
- Deep understanding of quantum supremacy thresholds and fault-tolerant architectures
- Experience leading teams in high-stakes R&D environments with rapid prototyping cycles
- Security clearance preferred for quantum cryptography projects
- Fluency in quantum machine learning and quantum neural network implementations