Job Description
Join Nexus Labs at the forefront of technological evolution as we build the quantum-powered AI systems that will define 2026. We're seeking visionary Quantum AI Research Engineers to architect next-generation solutions that merge quantum computing with artificial intelligence. This is your chance to work in our state-of-the-art San Francisco lab, where you'll collaborate with Nobel laureates and Turing Award winners to solve humanity's most complex challenges.
Our team operates at the intersection of quantum physics, machine learning, and computational theory, developing algorithms that will revolutionize cryptography, drug discovery, and climate modeling. We offer competitive equity packages, unlimited learning stipends, and the opportunity to patent groundbreaking innovations.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop novel quantum algorithms for optimization and simulation problems
- Collaborate with physicists to translate quantum hardware capabilities into AI applications
- Lead research in quantum neural networks and quantum-enhanced reinforcement learning
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent filings
- Stay current with emerging quantum computing platforms (IBM, Rigetti, IonQ)
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Proficiency in Python, Qiskit, Cirq, and TensorFlow/PyTorch
- Published research in quantum machine learning or quantum information theory
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud-based quantum computing platforms
- Strong analytical skills and ability to work in interdisciplinary teams
- Passion for solving problems at the edge of theoretical physics and AI