Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. Our multidisciplinary team operates in state-of-the-art labs where theoretical physics meets cutting-edge machine learning. This role offers unparalleled opportunities to shape the next generation of computational paradigms while working alongside Nobel laureates and industry disruptors.
Why Nexus Future Labs?
- Unlimited research budget with access to quantum computing clusters
- Equity in a pre-IPO unicorn valued at $2.3B
- Flexible remote-first policy with 3-month global research retreats
- Comprehensive health coverage including cryopreservation benefits
Responsibilities
- Design and implement quantum neural network architectures for 2026-scale data processing
- Lead cross-functional teams to develop AI-quantum hybrid algorithms
- Publish breakthrough research in top-tier journals (Nature, Science, etc.)
- Secure $5M+ in government/private research grants annually
- Collaborate with ISO-certified quantum security teams on next-gen encryption
- Mentor PhD candidates in quantum machine learning programs
- Present findings at Davos, TED, and global tech summits
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent breakthrough portfolio)
- 5+ years experience with quantum error correction protocols
- Published peer-reviewed research on quantum supremacy applications
- Proficiency in Qiskit, Cirq, and D-Wave APIs
- Expertise in tensor networks and quantum machine learning frameworks
- Track record of securing federal research grants (NSF, DARPA, etc.)
- Fluency in Python, C++, and quantum assembly languages
- Experience with cryogenic computing systems and superconducting qubits