Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this groundbreaking role, you'll develop next-generation algorithms that push the boundaries of computational possibility, working with cutting-edge quantum hardware and advanced neural architectures. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world breakthroughs. If you're passionate about shaping the future of technology and ready to tackle problems that seem impossible today, this is your moment to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical neural networks for enhanced computational efficiency
- Conduct advanced research in quantum error correction and fault-tolerant systems
- Collaborate with multidisciplinary teams to prototype and validate quantum AI solutions
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Lead quantum AI innovation sprints to accelerate prototype development cycles
- Mentor junior researchers and drive technical excellence across the quantum AI division
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning algorithms and deep neural architectures
- Strong background in quantum information theory and quantum mechanics
- Proven track record of publishing in top-tier AI/quantum conferences (NeurIPS, QIP, etc.)
- Experience with high-performance computing and distributed quantum systems
- Ability to translate complex quantum concepts into practical AI applications
- Passion for ethical AI development and quantum democratization initiatives