Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen systems that redefine computational boundaries. Our collaborative environment blends academic rigor with startup agility, offering unparalleled resources to transform theoretical breakthroughs into real-world applications.
Why Nexus Future Labs? Work with Nobel laureates, access our $50M quantum computing lab, and shape technologies that will impact billions. We offer competitive equity packages, flexible remote options, and dedicated R&D budgets for your experimental projects.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for 2026-scale optimization problems
- Lead cross-functional teams in developing error-corrected quantum neural networks
- Translate theoretical quantum machine learning models into deployable prototypes
- Collaborate with hardware teams to co-design quantum-resistant AI architectures
- Publish breakthrough research in top-tier journals and conferences
- Secure $1M+ in research grants for 2026-focused projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum simulators (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Published research in quantum machine learning or quantum algorithms
- Demonstrated experience with high-performance computing clusters
- Deep understanding of quantum error correction and fault-tolerant computing