Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary Quantum AI Research Engineer to architect groundbreaking solutions that will redefine computational paradigms by 2026. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco laboratory, where theoretical physics meets machine learning innovation.
Why Nexus Labs? We offer competitive equity packages, unlimited R&D budgets, and the opportunity to publish in top-tier journals while shaping humanity's technological trajectory. Our culture thrives on intellectual curiosity and audacious thinking.
Responsibilities
- Design and implement quantum algorithms for AI optimization tasks
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research initiatives in quantum neural networks and error correction
- Collaborate with hardware teams to prototype quantum processors
- Publish findings in peer-reviewed journals and present at global conferences
- Mentor junior researchers and drive cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Strong background in linear algebra, quantum mechanics, and information theory
- Proven track record of publishing high-impact research
- Experience with quantum hardware simulation and error mitigation