Job Description
Join Nexus Quantum Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum mechanics and machine learning, solving previously unsolvable problems in cryptography, drug discovery, and climate modeling. Our Austin-based R&D hub offers unmatched resources for breakthrough research, including access to quantum hardware and 10,000-qubit testbeds.
We seek visionaries who thrive at the intersection of physics and artificial intelligence. If you're ready to shape the computational landscape of tomorrow, this is your moment to accelerate human progress.
Responsibilities
- Design and implement quantum neural networks leveraging 2026-era hardware capabilities
- Develop hybrid quantum-classical algorithms for optimization problems
- Create error-correction protocols for fault-tolerant quantum computing
- Lead cross-functional teams in prototyping quantum-AI applications
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with industry partners to commercialize quantum-AI solutions
- Drive innovation in quantum machine learning frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Deep understanding of quantum algorithms and error correction techniques
- Proven track record of publishing in Nature/Science or equivalent venues
- Mastery of machine learning frameworks (PyTorch, TensorFlow)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in computational complexity theory