Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware, publish breakthrough research, and shape the future of global industries.
Our state-of-the-art lab in San Francisco provides an environment where theoretical physics meets practical innovation. You'll collaborate with Nobel laureates and industry veterans to solve humanity's most complex challenges—from climate modeling to drug discovery. If you're passionate about pushing the limits of quantum mechanics and translating theoretical breakthroughs into real-world applications, this is your moment.
Responsibilities
- Design and implement quantum algorithms for optimization, simulation, and machine learning applications
- Develop error-correction protocols and quantum error mitigation strategies for near-term devices
- Lead cross-functional R&D teams to integrate quantum solutions with classical computing frameworks
- Author peer-reviewed publications and present findings at premier conferences (QIP, APS March Meeting)
- Collaborate with hardware teams to co-design quantum processors and control systems
- Secure and manage research partnerships with national laboratories and academic institutions
- Translate theoretical quantum mechanics into patentable technologies with commercial applications
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of postdoctoral experience
- Proven expertise in quantum algorithm development (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#) and simulation tools
- Published research in top-tier journals (Nature, Science, PRL) on quantum computing
- Experience with superconducting qubits, trapped ions, or photonic quantum systems
- Strong background in linear algebra, probability theory, and computational complexity
- Demonstrated ability to secure competitive research grants and industry partnerships
- Entrepreneurial mindset with interest in translating research into commercial impact