Job Description
Shape the future at Nexus Quantum Labs, where 2026 isn't just a year—it's our quantum frontier. We're pioneering the next generation of computational intelligence and need visionary engineers to architect tomorrow's solutions. Join our elite team in San Francisco's innovation hub, working with cutting-edge quantum hardware and AI-integrated systems. This role offers unparalleled opportunities to influence breakthrough technologies that will redefine global industries. Enjoy competitive compensation, flexible work arrangements, and a culture that celebrates bold experimentation.
Our state-of-the-art facilities foster collaboration between physicists, computer scientists, and AI specialists. You'll develop quantum algorithms that solve previously impossible problems while mentoring the next generation of quantum pioneers. We provide comprehensive benefits including equity packages, wellness stipends, and dedicated R&D time for personal projects.
Responsibilities
- Design and implement quantum algorithms for optimization and machine learning applications
- Develop error-correction protocols for fault-tolerant quantum systems
- Collaborate with AI teams to integrate quantum-classical hybrid computing solutions
- Lead research initiatives in quantum cryptography and secure communications
- Optimize quantum circuits for hardware-specific architectures
- Document technical specifications and publish research findings
- Mentor junior engineers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proficiency in Python, C++, and high-performance computing frameworks
- Published research in quantum computing or related fields preferred
- Demonstrated ability to translate theoretical concepts into practical implementations