Job Description
Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. Our interdisciplinary team is developing next-generation algorithms that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of quantum machine learning while working with cutting-edge hardware and collaborative global experts.
Responsibilities
- Design and implement novel quantum neural network architectures for complex data processing
- Develop hybrid quantum-classical algorithms for optimization and simulation problems
- Collaborate with hardware teams to optimize quantum circuits for NISQ-era devices
- Lead research publications in top-tier quantum computing and AI journals
- Translate theoretical models into practical solutions for real-world industry applications
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong publication record in quantum computing or AI research
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to work with quantum hardware providers (IBM, Rigetti, IonQ)