Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer the fusion of quantum computing and artificial intelligence. In this role, you'll architect next-generation quantum neural networks, develop hybrid quantum-classical algorithms, and collaborate with Nobel laureates to solve previously unsolvable computational challenges. Our state-of-the-art Austin facility offers unparalleled resources including 128-qubit processors and dedicated quantum annealing clusters.
We provide a competitive compensation package featuring equity grants, flexible research budgets, and comprehensive benefits. You'll present findings at global conferences like Q2B and Nature Quantum Summits while mentoring the next generation of quantum pioneers. This is your chance to reshape humanity's computational future.
Responsibilities
- Design and implement quantum neural network architectures for complex optimization problems
- Develop hybrid quantum-classical machine learning frameworks for real-world applications
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Publish breakthrough research in top-tier journals (Nature, Science, Quantum)
- Mentor junior researchers and establish industry-academic partnerships
- Secure federal grants and private funding for quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum simulation techniques
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Experience with high-performance computing and parallel processing
- Proven ability to translate theoretical concepts into practical implementations