Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and artificial intelligence for 2026 and beyond. We're seeking visionary researchers to develop next-gen algorithms that will redefine computational boundaries. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and cryptography, pushing the limits of what's possible in a post-classical computing era.
This role offers unparalleled access to our state-of-the-art quantum annealing facilities and collaborative partnerships with leading academic institutions. You'll contribute to projects that could transform industries from drug discovery to climate modeling, working with cutting-edge hardware in an environment where innovation is the default.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical computational frameworks for complex problem-solving
- Lead research initiatives in quantum-resistant cryptography protocols
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish peer-reviewed research in top-tier scientific journals
- Present findings at international conferences and industry symposiums
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) with quantum integration
- Published research in quantum information science or AI optimization
- Strong background in linear algebra, probability, and computational complexity
- Experience with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Demonstrated ability to translate theoretical concepts into practical implementations