Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. Our Austin-based research division is assembling elite scientists to develop next-generation computational frameworks that will redefine industries. This role offers unparalleled resources and collaboration opportunities with Nobel laureates and industry disruptors. You'll shape the future of autonomous systems, drug discovery, and sustainable energy through cutting-edge research in quantum machine learning and neural networks. Our campus features state-of-the-art labs, flexible work environments, and competitive benefits including equity participation.
Responsibilities
- Lead research initiatives in quantum-AI hybrid algorithms for 2026-era applications
- Develop novel neural network architectures leveraging quantum computing principles
- Collaborate with cross-functional teams to translate theoretical models into scalable solutions
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Secure federal and private research funding through compelling proposals
- Drive ethical AI frameworks for quantum-empowered autonomous systems
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of experience in quantum algorithm development or advanced AI research
- Publication record in Nature/Science or equivalent tier journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq) and AI frameworks (TensorFlow Quantum)
- Demonstrated expertise in high-performance computing environments
- Strong track record of securing research grants or industry partnerships
- Deep understanding of quantum error correction and decoherence challenges
- Excellent written and verbal communication skills for technical audiences