Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled access to our state-of-the-art quantum annealing facilities and collaborative partnerships with leading academic institutions. You'll work in an environment where theoretical physics meets practical AI application, solving challenges previously deemed impossible.
We provide comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D funding. Our culture values intellectual curiosity and rewards breakthrough innovations with real-world impact. If you're passionate about shaping the future of computational intelligence, this is your opportunity to turn theoretical concepts into transformative solutions.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Lead research initiatives in quantum neural networks and hybrid AI systems
- Collaborate with hardware teams to optimize quantum circuits for AI workloads
- Publish findings in peer-reviewed journals and present at international conferences
- Develop scalable frameworks for quantum-enhanced data processing pipelines
- Mentor junior researchers and foster cross-functional innovation
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of research experience in quantum machine learning or quantum algorithms
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in linear algebra, probability theory, and computational complexity
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate theoretical concepts into practical implementations