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 Research Scientists to decode the mysteries of quantum mechanics and transform theoretical possibilities into groundbreaking applications. This role offers unparalleled opportunities to work with cutting-edge hardware, collaborate with Nobel laureates, and shape the future of computational science.
Our state-of-the-art facility in San Francisco provides an ecosystem where innovation thrives. You'll lead breakthrough projects in quantum algorithms, error correction, and cryptography while contributing to humanity's next technological leap. We offer competitive compensation, equity packages, and flexible work arrangements designed for optimal impact.
Responsibilities
- Design and implement novel quantum algorithms for optimization and machine learning applications
- Develop quantum error correction protocols for fault-tolerant computing systems
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Lead research initiatives in quantum cryptography and secure communication protocols
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Drive cross-functional projects with AI and materials science teams
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Proven track record of publishing high-impact quantum computing research
- Strong mathematical foundations in linear algebra, probability, and information theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to translate theoretical concepts into practical implementations
- Excellent communication skills with ability to articulate complex quantum concepts
- Preferred: Background in quantum machine learning or topological quantum computing