Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Scientist 2026, you'll architect next-gen algorithms that redefine computational boundaries. Our multidisciplinary team operates at the intersection of physics, machine learning, and ethics to solve humanity's most complex challenges. This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with leading academic institutions.
We seek visionaries who thrive in ambiguity and possess the technical rigor to transform theoretical concepts into practical innovations. Your work will directly shape the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural architectures for 2026-era applications
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Translate theoretical models into scalable production-ready solutions
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- 3+ years developing quantum algorithms or hybrid AI systems
- Deep understanding of quantum error correction techniques
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or top-tier AI conferences
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)