Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Our multidisciplinary team is developing revolutionary systems that will redefine computing paradigms by 2026. This role offers the unique opportunity to shape the next generation of intelligent systems while working alongside Nobel laureates and industry pioneers in our state-of-the-art quantum research facility.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Collaborate with hardware teams to develop error-corrected quantum processors
- Publish findings in top-tier journals and present at international conferences
- Secure federal grants and private funding for frontier research projects
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Publication record in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction techniques
- Proven ability to translate theoretical concepts into experimental prototypes