Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum-AI integration systems that will redefine computational capabilities by 2026. As a Quantum AI Researcher, you'll architect hybrid quantum-classical neural networks and develop next-gen machine learning algorithms that solve previously impossible challenges. Our Austin campus features state-of-the-art quantum labs and collaborative innovation spaces where your work directly impacts humanity's technological horizon.
What You'll Achieve:
You'll lead breakthrough research in quantum machine learning, publish in top-tier journals, and contribute to patent-protected systems that will power industries from healthcare to space exploration. Your expertise will shape our 2026 roadmap for quantum-AI convergence.
Responsibilities
- Design and implement quantum machine learning architectures for 2026-scale computational challenges
- Lead research teams in developing hybrid quantum-classical neural networks
- Collaborate with NASA and DARPA on quantum-AI integration projects
- Develop patent-pending algorithms for quantum data optimization
- Present findings at global tech summits and peer-reviewed publications
- Mentor junior researchers in quantum computing methodologies
- Contribute to open-source quantum-AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming languages (Q#, Qiskit)
- Expertise in quantum error correction and fault-tolerant systems
- Published research in quantum machine learning or AI optimization
- Proficiency with high-performance computing environments
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to lead complex R&D projects
- Strong background in theoretical physics and computational complexity