Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence for 2026 and beyond. We're seeking a visionary Quantum AI Research Engineer to develop next-generation algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel laureates in our state-of-the-art Austin research facility. Your contributions will directly impact breakthroughs in drug discovery, climate modeling, and materials science.
What We Offer:
- Equity packages in a pre-IPO quantum technology leader
- Access to IBM Quantum and D-Wave systems
- Flexible hybrid work model with unlimited PTO
- $15,000 annual learning stipend
Responsibilities
- Design and implement hybrid quantum-classical machine learning algorithms
- Develop error mitigation protocols for near-term quantum processors
- Create novel quantum neural network architectures for pattern recognition
- Collaborate with hardware teams to optimize quantum circuit implementations
- Lead open-source contributions to Qiskit and PennyLane frameworks
- Author peer-reviewed publications in Nature/Science journals
- Mentor PhD interns in quantum machine learning projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python/C++ with TensorFlow/PyTorch integration
- Strong background in linear algebra and quantum mechanics
- Experience with NISQ-era quantum hardware limitations
- Demonstrated ability to translate theoretical models into practical implementations