Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling. Our Austin campus features state-of-the-art labs with 40-qubit processors and dedicated quantum annealing resources. Enjoy competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements while shaping the next generation of computational intelligence.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop error-correction protocols for fault-tolerant quantum computing
- Create hybrid quantum-classical neural network architectures
- Lead cross-functional teams in prototyping quantum-AI applications
- Publish breakthrough research in Nature/Science journals
- Secure $5M+ in government/industry grants for quantum initiatives
- Mentor PhD candidates in quantum machine learning
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum programming (Qiskit, Cirq, or Q#)
- Expertise in quantum machine learning algorithms
- Proven track record of peer-reviewed publications in quantum/AI
- Strong background in linear algebra, quantum mechanics, and Python
- Experience with superconducting qubit systems or ion traps
- Ability to secure federal research grants (NSF/DoE)