Job Description
Shape the Future of Technology at Nexus Quantum Labs
Join our pioneering team at Nexus Quantum Labs as we redefine the boundaries of computational science in 2026. We're seeking a visionary Quantum Computing Research Scientist to lead breakthrough developments in quantum algorithms, cryptography, and machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources for innovation, including access to next-generation quantum processors and collaborative spaces where the brightest minds converge.
This role represents a rare opportunity to contribute to technologies that will transform industries from healthcare to finance. You'll work alongside Nobel laureates and industry pioneers in an environment that values bold thinking and rigorous scientific exploration. We offer competitive compensation, flexible work arrangements, and continuous learning opportunities to ensure your professional growth remains as dynamic as the field itself.
At Nexus Quantum Labs, we believe quantum computing isn't just the next technological evolution—it's the key to solving humanity's most complex challenges. Your work here will directly impact how we approach global problems, from climate modeling to drug discovery.
Responsibilities
- Design and implement cutting-edge quantum algorithms for optimization and simulation
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Collaborate with hardware teams to develop quantum software architectures
- Develop novel quantum machine learning models for predictive analytics
- Publish research in high-impact journals and present at international conferences
- Secure research grants through NSF, DOE, and industry partnerships
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python
- Strong background in linear algebra, probability theory, and quantum mechanics
- Demonstrated ability to publish peer-reviewed research in top-tier journals
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Track record of securing research funding or industry partnerships
- Exceptional problem-solving skills and innovative mindset