Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. This is your opportunity to shape 2026's digital landscape by developing groundbreaking solutions that merge quantum computing with artificial intelligence. We offer a dynamic environment where your expertise will directly influence real-world applications in cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco provides unparalleled resources for experimentation and collaboration with world-class researchers. This role includes competitive benefits, equity packages, and the chance to work on projects that will define the decade.
Responsibilities
- Design and implement quantum algorithms for AI acceleration
- Develop hybrid quantum-classical machine learning models
- Lead experimental validation of quantum computing protocols
- Collaborate with cross-functional teams to integrate quantum solutions
- Publish research in top-tier scientific journals and conferences
- mentor junior researchers and drive innovation workshops
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming languages (Q#, Qiskit)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Strong background in quantum error correction and decoherence
- Proven track record of peer-reviewed research publications
- Experience with high-performance computing environments