Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI fusion systems that will redefine computing by 2026. Our Austin-based innovation lab is seeking visionary researchers to develop next-generation algorithms for quantum machine learning applications. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical breakthroughs become commercial realities. We offer competitive equity packages, flexible work arrangements, and access to cutting-edge quantum hardware.
Responsibilities
- Design and implement quantum algorithms for AI model optimization
- Lead cross-functional teams to develop hybrid quantum-classical neural networks
- Publish groundbreaking research in top-tier journals and conferences
- Translate theoretical quantum computing concepts into practical enterprise solutions
- Secure federal and private research grants for quantum-AI initiatives
- Mentor PhD candidates and junior researchers in quantum machine learning
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record of publishing in Nature/Science or equivalent tier
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum circuit design
- Strong background in quantum error correction and fault-tolerant systems
- Experience securing DARPA or NSF grants
- Deep knowledge of quantum supremacy benchmarks