Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum-AI integration to solve 2026's most complex challenges. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and sustainable innovation. This role offers unparalleled resources to develop next-generation algorithms that will redefine computational boundaries.
We provide competitive equity, flexible work arrangements, and access to our state-of-the-art quantum research facilities. If you're passionate about shaping the technological landscape of tomorrow, this is your opportunity to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional R&D projects integrating quantum processors with classical AI systems
- Develop novel error-correction techniques for fault-tolerant quantum computing
- Collaborate with hardware teams to optimize quantum-AI hybrid architectures
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Secure and manage government/private research funding for quantum initiatives
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Strong publication record in quantum computing or AI research
- Proficiency in Python, C++, and quantum simulation tools
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with high-performance computing environments
- Knowledge of quantum hardware architectures (superconducting, trapped ions, photonic)