Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary Quantum AI Researchers to develop next-gen algorithms that will redefine computational boundaries. Our Austin hub combines cutting-edge infrastructure with a collaborative culture where your innovations can shape the future of artificial intelligence and quantum computing.
As a key member of our Future Tech Division, you'll work on projects that directly impact 2026's technological landscape, from climate modeling breakthroughs to quantum-encrypted communication systems. Enjoy competitive compensation, flexible work arrangements, and unparalleled opportunities to publish groundbreaking research.
Responsibilities
- Design and implement hybrid quantum-classical AI models for complex optimization problems
- Lead cross-functional teams in prototyping 2026-focused tech solutions
- Develop error-corrected quantum computing architectures for industrial applications
- Collaborate with MIT and Stanford on federally funded quantum AI initiatives
- Publish 3+ peer-reviewed papers annually in Nature/Science journals
- Mentor junior researchers in quantum machine learning methodologies
- Secure $2M+ in R&D funding through innovative grant proposals
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years developing quantum algorithms or advanced neural networks
- Proficiency with Qiskit, Cirq, and TensorFlow Quantum frameworks
- Published research in quantum machine learning or error correction
- Expertise in Python, C++, and low-level quantum hardware interfaces
- Experience securing DoE/NSF grants for quantum research
- Track record of commercializing theoretical quantum concepts
- Clearance for classified 2026 technology development projects