Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures that will redefine computational capabilities. Work in our state-of-the-art facility with cutting-edge equipment and collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
Our culture combines academic rigor with entrepreneurial drive, offering unparalleled resources for experimentation and rapid prototyping. You'll contribute to projects spanning cryptography, drug discovery, climate modeling, and AI optimization – all while shaping the technological landscape of the next decade.
Responsibilities
- Design and implement quantum algorithms for optimization problems in finance, logistics, and scientific research
- Develop novel quantum error correction techniques to enhance qubit stability and computational fidelity
- Collaborate with hardware engineers to prototype quantum processors operating at room temperature
- Lead research initiatives in quantum machine learning and neural network acceleration
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and supervise graduate-level quantum computing projects
- Secure research funding through NSF, DARPA, and industry partnerships
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum algorithms or quantum error correction
- Expertise in linear algebra, probability theory, and computational complexity
- Proficiency in Python, C++, and low-level quantum hardware control languages
- Experience with superconducting qubits or trapped-ion systems
- Demonstrated ability to secure competitive research grants
- Strong track record of cross-disciplinary collaboration