Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Our multidisciplinary team of visionaries is developing next-gen algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the future of quantum AI applications in cryptography, drug discovery, and climate modeling.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead cross-functional R&D projects integrating quantum hardware with neural networks
- Develop hybrid quantum-classical frameworks for real-world problem-solving
- Publish high-impact research in top-tier journals and conferences
- Mentor junior researchers and drive quantum education initiatives
- Secure federal and private research grants for quantum AI initiatives
- Collaborate with hardware teams to optimize quantum circuit architectures
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in advanced mathematics (linear algebra, probability, topology)
- Demonstrated publication record in quantum computing or AI research
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Expertise in at least one classical ML framework (TensorFlow, PyTorch)
- Ability to translate complex quantum concepts for interdisciplinary teams