Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking visionary research scientists to develop next-generation algorithms that bridge quantum computing and artificial intelligence. Our cross-disciplinary team works in cutting-edge labs with industry-leading resources to solve humanity's most complex challenges.
Why Nexus Future Labs? We offer unparalleled research freedom, competitive compensation, and equity in a company backed by global tech leaders. Our culture values intellectual curiosity, collaborative innovation, and sustainable impact.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization
- Lead research on quantum machine learning models with real-world applications
- Collaborate with hardware engineers to prototype quantum-AI integration systems
- Publish findings in peer-reviewed journals and present at international conferences
- Develop ethical frameworks for responsible quantum-AI deployment
- Mentor junior researchers in emerging quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years in quantum algorithm development or AI research
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow, JAX)
- Publication record in top-tier AI/quantum journals
- Strong background in computational complexity theory
- Demonstrated ability to translate theoretical research into practical applications