Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's greatest challenges. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and biotechnology, developing systems that will redefine industries. This role offers unparalleled opportunities to shape tomorrow's innovations while collaborating with Nobel laureates and industry disruptors.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-scale data processing
- Lead research on quantum neural networks and hybrid quantum-classical architectures
- Develop novel AI models for quantum-resistant cybersecurity frameworks
- Collaborate with biotech teams to simulate molecular interactions using quantum processors
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers in quantum computing methodologies
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (2020-2026)
- 3+ years experience with quantum programming languages (Qiskit, Cirq)
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum algorithms
- Published research in Nature/Science or equivalent tier journals
- Proficiency with high-performance computing clusters and quantum simulators
- Experience with quantum error correction and fault-tolerant systems
- Strong background in computational complexity theory