Job Description
Join Nexus Innovations at the frontier of technological evolution. We're seeking a Quantum AI Research Engineer to pioneer breakthroughs in quantum machine learning and autonomous systems. Shape the next decade of innovation by developing hybrid quantum-classical algorithms that will redefine computational boundaries. Your work will directly influence how humanity solves global challenges in medicine, climate modeling, and space exploration.
This role offers unparalleled access to our quantum computing lab, collaboration with Nobel laureates, and the opportunity to publish in top-tier journals. We provide competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural networks for autonomous systems
- Lead research on quantum error correction techniques at scale
- Collaborate with cross-functional teams to integrate quantum solutions into production environments
- Publish research findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Publication record in quantum machine learning or AI research
- Strong background in linear algebra, quantum mechanics, and information theory
- Proven ability to translate theoretical concepts into practical implementations