Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to decode the future of computational intelligence in our state-of-the-art San Francisco lab. Collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into real-world applications that will redefine humanity's relationship with technology.
What you'll achieve: Architect quantum neural networks, develop fault-tolerant algorithms, and publish groundbreaking research in Nature Physics. Your work will directly shape how quantum computing solves previously unsolvable problems in drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era computational challenges
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Develop error-correction protocols for 1000+ qubit processors
- Author peer-reviewed publications and secure NSF/NIST grants
- Translate theoretical models into practical industry applications
- Mentor PhD researchers in quantum algorithm development
- Collaborate with hardware teams to optimize quantum-AI integration
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (2020-2025 graduates preferred)
- Published research in quantum algorithms or quantum neural networks
- Proficiency in Qiskit, Cirq, or quantum circuit optimization frameworks
- Expertise in tensor networks and quantum error correction
- Experience with high-performance computing architectures
- Demonstrated ability to translate complex theory into practical applications
- Portfolio of 3+ quantum computing projects with measurable outcomes