Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026 breakthroughs. We're seeking visionary research scientists to develop next-generation quantum computing solutions that will redefine artificial intelligence capabilities. Our cross-disciplinary team operates at the intersection of quantum physics, machine learning, and computational theory to solve humanity's most complex challenges.
As a key member of our innovation ecosystem, you'll collaborate with Nobel Prize-winning physicists and AI pioneers in a state-of-the-art facility equipped with D-Wave and IBM quantum processors. This role offers unparalleled opportunities to publish groundbreaking research, contribute to open-source quantum frameworks, and shape the future of computational intelligence.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural network architectures
- Lead experimental validation of quantum supremacy benchmarks
- Author peer-reviewed publications in quantum computing journals
- Optimize quantum error correction protocols for practical AI applications
- Collaborate with hardware teams to co-design quantum processors
- Translate theoretical quantum models into scalable software solutions
Qualifications
- PhD in Quantum Physics, Computer Science, or related field
- 3+ years of quantum algorithm development experience
- Proficiency in Qiskit, Cirq, or equivalent quantum SDKs
- Publication record in Nature/Science or equivalent tier journals
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Deep understanding of quantum entanglement and superposition principles
- Experience with quantum annealing and gate-based computing
- Strong background in linear algebra and probability theory