Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. Our multidisciplinary team is developing next-generation algorithms to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the future of computational science while working in our state-of-the-art research facility in downtown San Francisco.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Collaborate with physicists to develop quantum-resistant cryptographic protocols
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Publish findings in top-tier scientific journals and present at international conferences
- Drive innovation in quantum error correction and fault-tolerant computing
- Mentor junior researchers and contribute to our open-source quantum frameworks
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning algorithms and high-performance computing
- Strong publication record in quantum or AI research
- Proficiency in Python, C++, and quantum circuit design
- Demonstrated ability to work in cross-disciplinary research environments
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)