Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll architect next-gen algorithms, develop scalable quantum neural networks, and collaborate with Nobel laureates in our state-of-the-art Silicon Valley facility. Your work will directly shape the future of machine learning, cryptography, and computational modeling.
We offer competitive equity packages, unlimited research budget, and the opportunity to publish groundbreaking research in top-tier journals. Our interdisciplinary team includes experts from MIT, Google AI, and IBM Research. If you're passionate about pushing beyond classical computing boundaries, this is your chance to redefine what's possible.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead research initiatives in quantum neural networks and variational quantum circuits
- Collaborate with hardware teams to optimize quantum AI implementations on quantum processors
- Develop novel error mitigation techniques for quantum computational advantage
- Author high-impact research papers and patents in quantum machine learning
- Mentor junior researchers and present findings at premier conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum algorithms (QAOA, VQE, QML)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or quantum information theory
- Experience with high-performance computing and distributed systems
- Excellent problem-solving skills and ability to work in interdisciplinary teams