Job Description
Shape the technological frontier at Nexus Future Labs as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to drive breakthroughs in quantum algorithms, error correction, and hardware optimization. Join our elite team of physicists and engineers at our state-of-the-art San Francisco campus, where you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
As we accelerate toward 2026's quantum commercialization milestones, you'll lead cross-disciplinary projects spanning cryptography, drug discovery, and climate modeling. Our culture combines MIT-caliber rigor with Silicon Valley agility, offering unparalleled resources including 128-qubit quantum processors and dedicated AI-assisted research environments. This role represents a rare opportunity to define the next generation of computational paradigms while mentoring the next wave of quantum pioneers.
Responsibilities
- Lead quantum algorithm development for commercial applications in finance and logistics
- Design and implement quantum error correction protocols for fault-tolerant systems
- Collaborate with hardware teams to optimize qubit coherence times and gate fidelities
- Publish peer-reviewed research in Nature/Science journals and present at QIP conferences
- Secure $5M+ in quantum computing grants from NSF and DARPA
- Mentor PhD researchers and develop quantum computing curricula for 2026 workforce readiness
- Partner with AWS/Google Quantum teams on hybrid quantum-classical frameworks
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
- Published research in top-tier quantum computing journals (Nature/Science/Physical Review X)
- Expertise in quantum circuit design and Qiskit/Cirq programming frameworks
- Proven track record leading quantum hardware-software co-design projects
- Deep understanding of quantum error correction and surface codes
- Experience securing federal research grants ($1M+ preferred)
- Strong background in quantum machine learning and variational algorithms
- Excellent presentation skills for technical and executive audiences