Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine computational paradigms. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and develop novel AI algorithms that leverage quantum supremacy. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin research facility, contributing to projects that will shape humanity's technological future.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical AI frameworks for real-world applications
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to prototype quantum AI solutions on next-generation processors
- Publish groundbreaking research in top-tier journals and conferences
- Mentor junior researchers and foster innovation within cross-functional teams
- Secure funding through NSF and DARPA proposals for quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Publication record in quantum machine learning or related fields
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Proven ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability, and statistical modeling
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)