Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems. This pivotal role demands a pioneer who can bridge quantum computing breakthroughs with artificial intelligence to solve humanity's most complex challenges.
As part of our elite Future Technologies Division, you'll lead a cross-disciplinary team of physicists, machine learning engineers, and computational theorists. Our Austin headquarters offers unparalleled resources, including a 256-qubit quantum processor and petascale AI clusters, enabling groundbreaking research in areas like climate modeling, personalized medicine, and sustainable energy.
Responsibilities
- Design and execute hybrid quantum-neural algorithms for 2026-era applications
- Lead a team of 12+ researchers in cutting-edge quantum machine learning projects
- Develop patent-pending quantum AI frameworks for commercial deployment
- Collaborate with NASA, IBM Research, and MIT on quantum computing initiatives
- Present findings at premier conferences like IEEE Quantum Week and NeurIPS
- Secure $5M+ in research grants from NSF and DoE
- Mentor PhD candidates in quantum-computational theory
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years hands-on experience with quantum circuit design (Qiskit/Cirq)
- Published research in Nature/Science on quantum AI applications
- Expertise in tensor networks and quantum error correction
- Proven track record leading federally funded research projects
- Deep understanding of quantum supremacy benchmarks
- Strong background in topological quantum computing
- Ability to translate complex quantum concepts to industry stakeholders