Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. We're seeking visionary Quantum AI Researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art Austin facility offers unparalleled resources for breakthrough research in quantum machine learning, cryptography, and autonomous systems. Collaborate with Nobel laureates and industry pioneers to shape the future of artificial intelligence.
Why Nexus Labs?
Cutting-edge quantum computing infrastructure
Unlimited research budget with zero bureaucratic barriers
Equity ownership in patent portfolios
Flexible remote-first hybrid work model
Tuition reimbursement for emerging tech certifications
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural networks for real-world applications
- Lead research on quantum-resistant cryptography protocols
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish breakthrough research in top-tier journals and conferences
- Secure $2M+ in annual research grants from government/private partners
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Proven track record of peer-reviewed publications in quantum-AI research
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and information theory
- Published work on quantum error correction or variational algorithms