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 computational paradigms that will redefine industries. Our Austin campus features state-of-the-art quantum labs and collaborative innovation spaces where you'll work with Nobel laureates and Turing Award winners.
Competitive compensation includes equity, comprehensive benefits, and unlimited learning stipends. Relocation assistance available for exceptional candidates.
Responsibilities
- Design and implement hybrid quantum-neural network architectures
- Lead breakthrough research in quantum error correction for AI systems
- Develop novel algorithms for quantum-enhanced machine learning
- Collaborate with hardware teams to optimize quantum-AI interfaces
- Publish findings in top-tier journals and present at global conferences
- Mentor junior researchers and cross-functional innovation teams
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum algorithms or quantum machine learning
- Proficiency in Python, Qiskit, Cirq, or similar quantum frameworks
- Deep understanding of tensor networks and quantum information theory
- Publication record in Nature/Science or equivalent venues
- Expertise in high-performance computing and parallel processing
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)