Job Description
Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. We're seeking visionary research scientists to develop scalable quantum algorithms and hybrid quantum-classical systems that will redefine computational paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your research while collaborating with Nobel laureates and industry disruptors. This role offers competitive equity packages, flexible work arrangements, and dedicated R&D funding for your experimental initiatives.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Lead experimental validation of quantum hardware prototypes in cryogenic environments
- Develop error mitigation techniques for fault-tolerant quantum computing systems
- Collaborate with software engineers to integrate quantum solutions into enterprise frameworks
- Publish high-impact research in peer-reviewed journals and present at international conferences
- Secure external funding through NSF and DoE grants
- Mentor junior researchers in quantum information science methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum circuit design and quantum simulation frameworks (Qiskit, Cirq)
- Proficiency with Python, C++, and low-level quantum control systems
- Publication record in quantum computing or quantum information theory
- Familiarity with NISQ-era hardware constraints and mitigation strategies
- Experience with machine learning frameworks (PyTorch, TensorFlow) for quantum hybrid models
- Strong analytical skills for interpreting quantum system performance metrics