Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware prototypes that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and molecular modeling.
Our state-of-the-art Quantum Innovation Lab in San Francisco provides access to cutting-edge equipment and a cross-disciplinary team of physicists, engineers, and AI specialists. We offer competitive equity packages, flexible work arrangements, and continuous learning stipends to ensure your professional growth aligns with the rapidly evolving quantum landscape.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error correction protocols to enhance qubit stability in multi-qubit systems
- Collaborate with hardware engineers to prototype quantum processors with >1000 qubits
- Lead research initiatives in quantum machine learning and quantum neural networks
- Publish findings in peer-reviewed journals and present at international conferences
- Secure federal and private research grants to advance quantum computing initiatives
- Mentor junior researchers and contribute to quantum education programs
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithm development (Shor's, Grover's, VQE)
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum error correction or quantum supremacy experiments
- Strong background in linear algebra, complex analysis, and quantum information theory
- Demonstrated ability to secure competitive research funding
- Experience with cryogenic systems and superconducting qubit manipulation
- Track record of translating theoretical concepts into practical implementations