Job Description
Join Nexus 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 groundbreaking algorithms, optimize quantum hardware integration, and solve previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with leading physicists, engineers, and AI specialists.
This role requires deep expertise in quantum mechanics, algorithm design, and high-performance computing. You'll contribute to projects spanning cryptography optimization, molecular simulation, and quantum machine learning, directly impacting industries from pharmaceuticals to climate modeling.
Responsibilities
- Design and implement quantum algorithms for practical applications in cryptography, optimization, and machine learning
- Collaborate with hardware teams to develop error correction protocols and quantum gate optimization strategies
- Lead research initiatives in quantum supremacy benchmarks and hybrid quantum-classical computing frameworks
- Publish findings in peer-reviewed journals and present at international quantum computing conferences
- Develop simulation environments for quantum systems using Python, Qiskit, and Cirq
- Mentor junior researchers and cross-functional teams on quantum principles
- Secure research grants and partnerships with academic institutions and government agencies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Strong background in linear algebra, probability theory, and computational complexity
- Proven track record of publishing high-impact quantum computing research
- Familiarity with quantum hardware platforms (IBM Quantum, Rigetti, IonQ) and their limitations
- Experience with cloud-based quantum computing services and hybrid computing frameworks
- Demonstrated ability to translate theoretical concepts into practical implementations