Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that bridge quantum computing and machine learning, pushing the boundaries of computational intelligence. Our Austin hub offers state-of-the-art labs, collaborative innovation spaces, and direct access to quantum hardware. We value bold thinkers who thrive at the intersection of physics, mathematics, and computer science. If you're ready to shape the future of human-machine symbiosis, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for NISQ-era hardware
- Develop hybrid quantum-classical frameworks for real-world optimization problems
- Lead cross-functional teams in prototyping quantum-AI applications across industries
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to co-design quantum processors
- Drive ethical AI frameworks for quantum decision systems
- Secure $1M+ in research grants for 2026 quantum initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in Python, Qiskit, Cirq, and TensorFlow Quantum
- Published research in quantum machine learning or quantum information theory
- Expertise in quantum error correction and fault-tolerant systems
- Strong background in tensor networks and quantum simulation
- Experience with high-performance computing architectures
- Passion for translating theoretical breakthroughs into practical applications