Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing breakthrough applications for autonomous systems, advanced materials discovery, and computational biotechnology. This role offers unparalleled opportunities to shape the technological landscape of 2026 and beyond.
We provide a dynamic research environment with state-of-the-art quantum computing infrastructure, competitive equity packages, and flexible work arrangements. Our commitment to innovation is matched only by our dedication to fostering diverse perspectives that drive breakthrough solutions.
Responsibilities
- Lead research initiatives in quantum machine learning algorithms for high-dimensional data processing
- Design and implement hybrid quantum-classical neural networks for real-world applications
- Collaborate with hardware teams to optimize quantum circuit architectures for AI workloads
- Develop novel error-correction protocols for quantum-AI hybrid systems
- Publish findings in leading scientific journals and present at international conferences
- Secure research grants and partnerships with academic institutions
- Mentor junior researchers and cross-functional teams
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- 5+ years of experience in quantum algorithm development or AI research
- Proficiency in quantum programming frameworks (Qiskit, Cirq) and ML libraries (TensorFlow, PyTorch)
- Published research in quantum machine learning or high-performance computing
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical applications