Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation computational paradigms that will redefine technology's impact on humanity. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms leveraging quantum computing principles to solve previously unsolvable challenges in machine learning, cryptography, and complex systems modeling. Our Austin-based innovation hub offers unparalleled resources for experimentation and collaboration with world-class physicists and AI specialists. If you're passionate about shaping tomorrow's technological landscape, this is your opportunity to lead the charge.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing architectures for enterprise-scale problems
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research initiatives in quantum neural networks and quantum-resistant cryptography
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive quantum computing adoption across industry sectors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#) and quantum circuit design
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and error correction techniques
- Strong background in machine learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Published research in quantum computing or quantum machine learning
- Experience with cloud-based quantum platforms (IBM Quantum, Amazon Braket, or Azure Quantum)
- Excellent problem-solving skills and ability to communicate complex concepts to diverse stakeholders