Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI integration. Our Austin-based hub is assembling elite researchers to develop next-generation computational frameworks that will redefine machine learning and data processing. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets practical AI deployment.
We offer competitive equity packages, unlimited R&D budgets, and a state-of-the-art lab equipped with D-Wave quantum processors. Your work will directly impact breakthroughs in climate modeling, drug discovery, and autonomous systems.
Responsibilities
- Lead quantum-AI hybrid algorithm development for commercial applications
- Design fault-tolerant quantum neural network architectures
- Collaborate with hardware teams to optimize qubit coherence times
- Publish peer-reviewed research in Nature/Science journals
- Mentor postdoctoral researchers and PhD candidates
- Secure $2M+ in annual research grants
- Develop IP strategy for quantum-AI patent portfolio
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 5+ years experience in quantum machine learning research
- Published work in top-tier quantum/AI conferences (QIP, NeurIPS)
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Expertise in tensor networks and quantum error correction
- Track record of securing government/industry research funding
- Strong background in high-performance computing architectures