Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that redefine computational boundaries and shape the future of machine learning.
Our multidisciplinary team operates in state-of-the-art facilities with access to quantum annealers, superconducting processors, and exascale computing resources. You'll collaborate with Nobel laureates and industry disruptors to develop breakthrough applications in drug discovery, climate modeling, and cryptography.
We offer competitive compensation, equity packages, unlimited R&D budgets, and flexible work arrangements. Your research could unlock patents that transform entire industries.
Responsibilities
- Design and implement hybrid quantum-classical neural network architectures
- Develop error-corrected quantum algorithms for machine learning applications
- Lead cross-functional teams in prototyping quantum AI solutions
- Publish research in top-tier journals and present at IEEE/ACM conferences
- Secure federal grants and corporate partnerships for quantum computing initiatives
- Optimize quantum circuits for NISQ-era hardware constraints
- Mentor PhD researchers and contribute to open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum information theory
- Expertise in tensor networks and quantum circuit optimization techniques
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Proficiency with high-performance computing environments
- Experience securing government research grants (NSF, DOE, DARPA)
- Knowledge of quantum error correction and fault-tolerant computing principles