Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary Quantum Computing Research Scientists to architect next-gen algorithms and hardware prototypes that solve previously impossible computational challenges. In this role, you'll collaborate with Nobel Prize-winning physicists and industry disruptors to develop scalable quantum systems, pushing the boundaries of cryptography, AI optimization, and materials science. Our state-of-the-art quantum lab in downtown San Francisco offers unparalleled resourcesâincluding 128-qubit processors and cryogenic environmentsâto accelerate your breakthroughs. We offer competitive equity packages, flexible work arrangements, and opportunities to publish in top-tier journals.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols to enhance quantum system stability
- Collaborate with hardware teams to prototype superconducting qubit architectures
- Lead quantum cryptography projects for next-gen security frameworks
- Publish research in Nature Physics/Science and present at IEEE Quantum Week
- Mentor junior researchers and manage quantum computing internship programs
- Secure $1M+ in government/industry grants for quantum research initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
- Expertise in quantum circuit design and quantum machine learning frameworks
- Published research in quantum error correction or fault-tolerant computing
- Proficiency in Qiskit, Cirq, or equivalent quantum development environments
- Deep understanding of superconducting qubit systems and cryogenic engineering
- Strong background in linear algebra, probability theory, and quantum information theory
- Experience with high-performance computing clusters and parallel programming
- Track record of securing quantum computing research grants