Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for our breakthrough quantum neural networks, collaborating with Nobel laureates and disrupting industries from healthcare to climate modeling. This role offers unparalleled access to our $500M R&D fund and cutting-edge quantum hardware. Shape the future of artificial intelligence in an environment where innovation isn't just encouraged—it's our DNA.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Develop hybrid quantum-classical neural networks with 99.9% fault tolerance
- Lead cross-functional teams in prototyping quantum-AI integration solutions
- Optimize quantum circuits for real-time processing of petabyte-scale datasets
- Publish research in top-tier journals and present at IEEE Quantum Computing conferences
- Maintain quantum system security protocols against emerging cyber threats
- Collaborate with hardware teams to design next-gen quantum processors
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Published research in Nature/Science or equivalent quantum computing publications
- Proficiency in Python/C++ with deep learning frameworks (PyTorch/TensorFlow)
- Certification in quantum hardware operations (IBM Q Experience preferred)
- Experience with quantum error correction codes and topological quantum computing
- Demonstrated ability to secure $1M+ in research funding
- Fluency in quantum circuit optimization and qubit mapping techniques