Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our Austin hub offers state-of-the-art facilities and an interdisciplinary environment where theoretical physics meets machine learning innovation. This role includes competitive equity, flexible work arrangements, and exposure to groundbreaking projects with global impact.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era applications
- Lead cross-functional teams in prototyping hybrid quantum-classical systems
- Publish cutting-edge research in top-tier journals and conferences
- Collaborate with government and industry partners on quantum security protocols
- Develop patentable algorithms for quantum advantage in machine learning
- Mentor junior researchers in emerging quantum computing paradigms
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum simulation
- Deep understanding of quantum error correction and fault tolerance
- Strong background in complex algorithm design and optimization
- Experience with high-performance computing clusters and GPU acceleration